VUNO, Inc.
Founded in 2014, VUNO provides AI-based vital-sign and medical imaging diagnostic solutions, including VUNO Med-DeepCARS and VUNO Med-Fundus AI.
As of 2026-10-10, VUNO, Inc. has 5 MFDS Innovative Medical Device designations, 54 Korean MFDS device approvals, 2 US FDA clearances/approvals, 108 PubMed-indexed papers on record (counted by the MAA Company Index from its own matching of public databases).
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Market cap
Business overview
Source: DART corporate disclosureFounded in 2014 and listed on KOSDAQ in 2021, VUNO is a medical AI company. It offers vital-sign products VUNO Med-DeepCARS and HATIV P30, and imaging products VUNO Med-Fundus AI and VUNO Med-Chest X-Ray, alongside technology-licensing agreements. It operates B2H, B2B, and B2C business models with a growing SaaS subscription revenue base, and VUNO Med-DeepCARS received US FDA Breakthrough Device Designation in June 2023 and a USPTO trademark in April 2024.
Products & technology
- VUNO Med-DeepCARSMonitors 24-hour cardiac arrest risk for inpatients
- HATIV P30ECG measurement and arrhythmia analysis
- VUNO Med-Fundus AIDetects 12 abnormal findings in fundus images
- VUNO Med-Chest X-RayPresents five major findings from chest X-ray images
Regulatory approvals
data.go.kr · openFDA5 Innovative Medical Device designations · 2020–2025 / 54 Korean MFDS device approvals · 2019–2026 / 2 US FDA 510(k) · 2023–2024
- InnovativeVN-M-022025-01-20Innovative Medical Device designation
- InnovativeVN-M-042022-12-01Innovative Medical Device designation
- InnovativeVN-C-042021-10-25Innovative Medical Device designation
- InnovativeVN-C-012020-09-22Innovative Medical Device designation
- InnovativeVN-M-032020-07-22Innovative Medical Device designation
- MFDSProduct name not recorded2026-07-22Product approval · Class 2인 26-4030 호
- MFDSProduct name not recorded2026-05-28Product approval · Class 2인 26-4020 호
- MFDSProduct name not recorded2026-03-09Product approval · Class 1신 26-28 호
- MFDSProduct name not recorded2026-02-19Product approval · Class 2인 26-4006 호
- MFDSProduct name not recorded2025-06-23Product approval · Class 1신 25-15 호
- MFDSVital sign, analysis software2025-05-20Product approval · Class 2제허 25-329 호
- MFDSProduct name not recorded2025-05-20Product approval · Class 2허 25-329 호
Show 49 more
- MFDSElectrocardiograph, analysis software2025-05-13Product approval · Class 2제허 25-306 호
- MFDSProduct name not recorded2025-05-13Product approval · Class 2허 25-306 호
- MFDSElectrocardiographic analyser2024-12-10Product approval · Class 2제인 24-1126 호
- FDAVUNO Med-Chest X-ray Triage/VUNO Med-CXR Link Triage2024-11-15
- MFDSElectrocardiograph, analysis software2024-10-28Product approval · Class 2제허 24-739 호
- MFDSProduct name not recorded2024-10-28Product approval · Class 2허 24-739 호
- MFDSVital sign, analysis software2024-09-04Product approval · Class 2제허 24-610 호
- MFDSProduct name not recorded2024-09-04Product approval · Class 2허 24-610 호
- MFDSElectrocardiograph, analysis software2024-08-07Product approval · Class 2제허 24-530 호
- MFDSProduct name not recorded2024-08-07Product approval · Class 2허 24-530 호
- MFDSElectrocardiograph, analysis software2024-05-02Product approval · Class 2제허 24-305 호
- MFDSProduct name not recorded2024-05-02Product approval · Class 2허 24-305 호
- MFDSOrthopaedic image, computer aided detection/ diagnosis software2023-11-10Product approval · Class 2제허 23-1053 호
- MFDSProduct name not recorded2023-11-10Product approval · Class 2허 23-1053 호
- FDAVUNO Med-DeepBrain2023-10-04
- MFDSMedical image, analysis software2023-08-16Product approval · Class 2제인 23-5014 호
- MFDSProduct name not recorded2023-08-16Product approval · Class 2인 23-5014 호
- MFDSMedical image, analysis software2023-05-18Product approval · Class 2제인 23-4736 호
- MFDSProduct name not recorded2023-05-18Product approval · Class 2인 23-4736 호
- MFDSDental image, computer aided detection/diagnosis software2023-04-18Product approval · Class 2제허 23-507 호
- MFDSProduct name not recorded2023-04-18Product approval · Class 2허 23-507 호
- MFDSU-healthcare gateway software, class 12023-04-12Product approval · Class 1제신 23-647 호
- MFDSProduct name not recorded2023-04-12Product approval · Class 1신 23-647 호
- MFDSElectrocardiographic Holter analyser2022-10-05Product approval · Class 2제인 22-4746 호
- MFDSMedical image, analysis software2022-09-27Product approval · Class 2제인 22-4717 호
- MFDSProduct name not recorded2022-09-27Product approval · Class 2인 22-4717 호
- MFDSMedical image, analysis software2022-09-27Product approval · Class 2제인 22-4716 호
- MFDSProduct name not recorded2022-09-27Product approval · Class 2인 22-4716 호
- MFDSElectrocardiographic Holter analyser2022-07-29Product approval · Class 2제인 22-4574 호
- MFDSMedical image, analysis software2022-07-08Product approval · Class 2제인 22-4515 호
- MFDSProduct name not recorded2022-07-08Product approval · Class 2인 22-4515 호
- MFDSMedical image, analysis software2022-02-24Product approval · Class 2제인 22-4150 호
- MFDSProduct name not recorded2022-02-24Product approval · Class 2인 22-4150 호
- MFDSVital sign, analysis software2021-08-23Product approval · Class 2제허 21-709 호
- MFDSProduct name not recorded2021-08-23Product approval · Class 2허 21-709 호
- MFDSOther software, classⅡ, for IVD2021-06-22Product approval · Class 2체외 제인 21-4543 호
- MFDSProduct name not recorded2021-06-22Product approval · Class 2인 21-4543 호
- MFDSNeural image, computer aided detection/diagnosis software2020-12-29Product approval · Class 3제허 20-1159 호
- MFDSProduct name not recorded2020-12-29Product approval · Class 3허 20-1159 호
- MFDSMedical image, analysis software2020-12-23Product approval · Class 2제인 20-5145 호
- MFDSProduct name not recorded2020-12-23Product approval · Class 2인 20-5145 호
- MFDSComputer aided diagnosis software for pathological cells or tissue2020-12-18Product approval · Class 3체외 제허 20-1111 호
- MFDSOphthalmic image, computer aided detection/ diagnosis software2020-04-01Product approval · Class 3제허 20-244 호
- MFDSProduct name not recorded2020-04-01Product approval · Class 3허 20-244 호
- MFDS의료영상진단보조소프트웨어Revoked2019-11-07Product approval · Class 3제허 19-705 호
- MFDSMedical image, computer aided detection/ diagnosis software, class 22019-08-20Product approval · Class 2제허 19-551 호
- MFDSProduct name not recorded2019-08-20Product approval · Class 2허 19-551 호
- MFDSNeural image, analysis software2019-06-24Product approval · Class 2제인 19-4502 호
- MFDSProduct name not recorded2019-06-24Product approval · Class 2인 19-4502 호
Global clinical trials
ClinicalTrials.gov · sponsor-matchedRecruiting · 2026-04 · NCT07378956
Withdrawn · 2025-06 · NCT06713226
Key disclosures
KRX KIND via OpenDARTPublications
PubMed · affiliation-matched- Artificial Intelligence-Assisted Pulmonary Nodule Diagnosis by Thoracic Surgeons: A Comparative Study on Clinical Effectiveness.
Thoracic cancer · 2026-09 · Jeon YJ, Jeong J, Park D 외 5
- Evaluating an AI-assisted triage workflow for retinal diseases.
PLOS digital health · 2026-09 · Park D, Oh R, Baek J 외 1
- Evaluating Artificial Intelligence as a First-Pass Reader in Fundus Photograph Screening: A Multireader Workflow Validation Study.
Diagnostics (Basel, Switzerland) · 2026-08 · Baek J, Oh R, Park D 외 1
- Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data.
JMIR medical informatics · 2026-08 · Park M, Ahn HJ, Na Y 외 7
- Development and Validation of a Machine Learning Classification Algorithm for Differentiating Frontotemporal Dementia from Alzheimer's Disease Using Automated Brain MRI Volumetry.
AJNR. American journal of neuroradiology · 2026-08 · Lee SH, Jung W, Park M 외 7
- Comparative analysis of 6-lead and single-lead consumer-grade electrocardiograms: diagnostic accuracy, numerical agreement, and inter-rater reliability.
European heart journal. Digital health · 2026-07 · Kim MJ, Eom S, Kim J 외 11
- Efficacy and Long-Term Outcomes of Direct-Acting Antivirals in Patients with Hepatitis C Virus-Related Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
Gut and liver · 2026-07 · Yoo JJ, Han SK, Kim SS 외 11
- Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.
European radiology · 2026-06 · Jeong SY, Jung W, Suh CH 외 8
- Deep learning-based natural language processing for critical care identification in pediatric emergency department.
BMC emergency medicine · 2026-06 · Kim JA, Cho S, Hwang M 외 6
- Position-wise comparison of handheld 6-lead ECG versus the standard 12-lead ECG in patients with arrhythmia: comparative study.
BMC cardiovascular disorders · 2026-06 · Park YJ, Eom S, Lee SJ 외 7
Show 98 more publications
- Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.
Diagnostics (Basel, Switzerland) · 2026-05 · Kim M, Yoo D, Noh E 외 6
- Deep Learning-Based Brainstem Segmentation and Multi-Class Classification for Parkinsonian Syndrome.
Journal of magnetic resonance imaging : JMRI · 2026-04 · Kim S, Suh PS, Shim WH 외 15
- Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study.
JMIR medical informatics · 2026-04 · Lee S, Son JW, Kim SA 외 10
- Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial.
Diagnostics (Basel, Switzerland) · 2026-01 · Park MH, Kim M, Lee MJ 외 7
- Development of a long-term survival prediction model for patients undergoing invasive coronary angiography using ensemble-based machine learning in time-to-event analysis.
Heart & lung : the journal of critical care · 2026-01 · Choi HJ, Park H, Lee D 외 2
- DeePedIMV: Deep learning model for early prediction of invasive mechanical ventilation in critically ill children.
Heart & lung : the journal of critical care · 2026-01 · Lee N, Park B, Kim C 외 9
- Data-Driven differentiation of idiopathic Normal-Pressure hydrocephalus and progressive supranuclear palsy via automated volumetric analysis.
Neuroradiology · 2025-12 · Yun S, Song Y, Suh CH 외 14
- Deep Learning-Based Risk Assessment and Prediction of Cardiac Outcomes Using Single-Lead 24-Hour Holter-ECG in Patients with Heart Failure or Myocardial Infarction.
Journal of clinical medicine · 2025-10 · Kim JY, Kim KG, Joo S 외 7
- Development and validation of a deep learning-based automatic classification algorithm for the medial temporal lobe atrophy score using a multimodality cascade transformer.
Clinical radiology · 2025-09 · Lee SJ, Lee D, Suh CH 외 8
- Enhancing Cardiac Arrest Prediction in Critically Ill Patients: A Sequence-Based Embedding Approach with Mamba.
Studies in health technology and informatics · 2025-08 · Gim U, Shin Y, Yoo D 외 4
- Novel artificial intelligence model using electrocardiogram for detecting acute myocardial infarction needing revascularization.
European heart journal. Digital health · 2025-07 · Cho KH, Ji YH, Joo S 외 19
- Comment on "Lower incidence of hepatocellular carcinoma with tenofovir alafenamide in chronic hepatitis B: Evidence from a large-scale cohort".
JHEP reports : innovation in hepatology · 2025-05 · Han JE, Seo GH, Kim SS
- Editorial Expression of Concern: Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram.
Scientific reports · 2025-04 · An JN, Park M, Joo S 외 9
- Specialized ECG data augmentation method: leveraging precordial lead positional variability.
Biomedical engineering letters · 2025-03 · Lim J, Lee Y, Jang W 외 1
- Graph structure based data augmentation method.
Biomedical engineering letters · 2025-03 · Kim KG, Lee BT
- Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge.
EClinicalMedicine · 2025-03 · Lim L, Kim M, Cho K 외 4
- A pediatric emergency prediction model using natural language process in the pediatric emergency department.
Scientific reports · 2025-01 · Choi A, Kim C, Ryoo J 외 6
- Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis.
AJNR. American journal of neuroradiology · 2025-01 · Lee J, Kim D, Suh CH 외 13
- Deep Learning-Based Slice Thickness Reduction for Computer-Aided Detection of Lung Nodules in Thick-Slice CT.
Diagnostics (Basel, Switzerland) · 2024-11 · Jeong J, Park D, Kang JH 외 4
- A Comprehensive Review of Performance Metrics for Computer-Aided Detection Systems.
Bioengineering (Basel, Switzerland) · 2024-11 · Park D
- Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram.
Scientific reports · 2024-10 · An JN, Park M, Joo S 외 9
- Clinical Utility of Deep Learning Assistance for Detecting Various Abnormal Findings in Color Retinal Fundus Images: A Reader Study.
Translational vision science & technology · 2024-10 · Shin JY, Son J, Kong ST 외 5
- Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT.
European radiology · 2024-06 · Choi E, Park D, Son G 외 4
- Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation.
Critical care (London, England) · 2024-03 · Lim L, Gim U, Cho K 외 3
- DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.
Patterns (New York, N.Y.) · 2024-03 · Qian B, Chen H, Wang X 외 28
- External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.
Critical care medicine · 2024-03 · Cho KJ, Kim KH, Choi J 외 2
- Deep learning-based, fully automated, pediatric brain segmentation.
Scientific reports · 2024-02 · Kim MJ, Hong E, Yum MS 외 3
- Self-attention with temporal prior: can we learn more from the arrow of time?
Frontiers in artificial intelligence · 2024-01 · Kim KG, Lee BT
- A Case-Control Clinical Trial on a Deep Learning-Based Classification System for Diagnosis of Amyloid-Positive Alzheimer's Disease.
Psychiatry investigation · 2023-12 · Bae JB, Lee S, Oh H 외 7
- Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network.
European radiology · 2023-11 · Park HY, Shim WH, Suh CH 외 8
- Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels.
Korean journal of radiology · 2023-11 · Kim PH, Yoon HM, Kim JR 외 12
- Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data.
Journal of clinical medicine · 2023-11 · Kim T, Tae Y, Yeo HJ 외 8
- Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study.
BMC pediatrics · 2023-10 · Kim Y, Kim H, Choi J 외 12
- Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.
Critical care (London, England) · 2023-09 · Cho KJ, Kim JS, Lee DH 외 7
- Risk estimation for idiopathic normal-pressure hydrocephalus: development and validation of a brain morphometry-based nomogram.
European radiology · 2023-09 · Yun SY, Choi KS, Suh CH 외 13
- Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.
Scientific reports · 2023-08 · Park D, Jang R, Chung MJ 외 4
- Reimbursement Coverage Decision Making for Digital Health Technologies in South Korea: Does It Fit the Value Framework Used in Traditional Medical Technologies?
Value in health regional issues · 2023-07 · Myung JE, Strachan L, Shin J 외 2
- Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography.
Journal of digital imaging · 2023-06 · Yoon MS, Kwon G, Oh J 외 5
- An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship.
Scientific reports · 2023-04 · Son J, Shin JY, Kong ST 외 6
- Oncogenic signaling pathways and hallmarks of cancer in Korean patients with acral melanoma.
Computers in biology and medicine · 2023-03 · Moon S, Kim HJ, Lee Y 외 7
- Corrigendum: Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg.
Frontiers in neurology · 2023-01 · Suh PS, Jung W, Suh CH 외 8
- Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg.
Frontiers in neurology · 2023-01 · Suh PS, Jung W, Suh CH 외 8
- Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events.
Acute and critical care · 2022-11 · Shin Y, Cho KJ, Lee Y 외 8
- Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.
Scientific reports · 2022-10 · Kim JS, Han JW, Bae JB 외 17
- Author Correction: Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.
Scientific reports · 2022-10 · Choi J, Lee S, Chang M 외 3
- Comparison between the International Classification of Primary Care and the International Classification of Diseases Classifications in Primary Care in Korea.
Korean journal of family medicine · 2022-09 · Cho MR, Kwon YJ, Kim SH 외 5
- Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
Journal of digital imaging · 2022-08 · Chung M, Kong ST, Park B 외 3
- Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm.
Endocrinology and metabolism (Seoul, Korea) · 2022-08 · Kong SH, Lee JW, Bae BU 외 4
- Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.
Scientific reports · 2022-08 · Choi J, Lee S, Chang M 외 3
- Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method.
Yonsei medical journal · 2022-07 · Hwang J, Yoon HM, Hwang JY 외 8
- The Medical Segmentation Decathlon.
Nature communications · 2022-07 · Antonelli M, Reinke A, Bakas S 외 55
- A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography.
Journal of thoracic imaging · 2022-07 · Choi H, Kim H, Jin KN 외 14
- DeepDRiD: Diabetic Retinopathy-Grading and Image Quality Estimation Challenge.
Patterns (New York, N.Y.) · 2022-06 · Liu R, Wang X, Wu Q 외 23
- A comprehensive evaluation of regression-based drug responsiveness prediction models, using cell viability inhibitory concentrations (IC50 values).
Bioinformatics (Oxford, England) · 2022-05 · Park A, Joo M, Kim K 외 6
- Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection.
Journal of Korean medical science · 2022-04 · Ko RE, Kwon O, Cho KJ 외 8
- Diagnostic and Prognostic Roles of CDX2 Immunohistochemical Expression in Colorectal Cancers.
Diagnostics (Basel, Switzerland) · 2022-03 · Choi HB, Pyo JS, Son S 외 2
- Development and validation of a deep-learning-based pediatric early warning system: A single-center study.
Biomedical journal · 2022-02 · Park SJ, Cho KJ, Kwon O 외 5
- Diagnostic Accuracy of the Deep Learning Model for the Detection of ST Elevation Myocardial Infarction on Electrocardiogram.
Journal of personalized medicine · 2022-02 · Choi HY, Kim W, Kang GH 외 7
- Application of computer-aided diagnosis for Lung-RADS categorization in CT screening for lung cancer: effect on inter-reader agreement.
European radiology · 2022-02 · Park S, Park H, Lee SM 외 4
- Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm.
Frontiers in cardiovascular medicine · 2022-01 · Han C, Kwon O, Chang M 외 6
- Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia.
PloS one · 2022-01 · Joo L, Shim WH, Suh CH 외 9
- An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm.
Frontiers in cardiovascular medicine · 2022-01 · Kim JY, Kim KG, Tae Y 외 7
- Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model.
European radiology · 2021-12 · Ahn KS, Bae B, Jang WY 외 10
- Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals-Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study.
Journal of medical Internet research · 2021-09 · Han C, Song Y, Lim HS 외 6
- Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Scientific reports · 2021-09 · Joo S, Ko ES, Kwon S 외 5
- Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.
European radiology · 2021-08 · Park S, Park G, Lee SM 외 4
- A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards.
Resuscitation · 2021-06 · Lee YJ, Cho KJ, Kwon O 외 10
- Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study.
Radiology · 2021-05 · Sung J, Park S, Lee SM 외 5
- Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.
ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2021-03 · Cho J, Lee B, Kwon JM 외 6
- Aggregation of cohorts for histopathological diagnosis with deep morphological analysis.
Scientific reports · 2021-02 · Park J, Chung YR, Kong ST 외 5
- A Prospective Validation and Observer Performance Study of a Deep Learning Algorithm for Pathologic Diagnosis of Gastric Tumors in Endoscopic Biopsies.
Clinical cancer research : an official journal of the American Association for Cancer Research · 2021-02 · Park J, Jang BG, Kim YW 외 15
- Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging.
Scientific reports · 2020-12 · Bae JB, Lee S, Jung W 외 8
- Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images.
AJNR. American journal of neuroradiology · 2020-12 · Suh CH, Shim WH, Kim SJ 외 7
- Erratum: Correction of Author Name and Affiliation in the Article "Artificial Intelligence in Health Care: Current Applications and Issues".
Journal of Korean medical science · 2020-12 · Park CW, Seo SW, Kang N 외 20
- Artificial Intelligence in Health Care: Current Applications and Issues.
Journal of Korean medical science · 2020-11 · Park CW, Seo SW, Kang N 외 20
- Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms.
Translational vision science & technology · 2020-11 · Son J, Shin JY, Chun EJ 외 3
- Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record.
Critical care medicine · 2020-11 · Lee BT, Kwon OY, Park H 외 3
- Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.
Critical care medicine · 2020-04 · Cho KJ, Kwon O, Kwon JM 외 6
- Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.
Journal of the American Heart Association · 2020-04 · Kwon JM, Lee SY, Jeon KH 외 5
- Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services.
Scandinavian journal of trauma, resuscitation and emergency medicine · 2020-03 · Kang DY, Cho KJ, Kwon O 외 6
- Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
European radiology · 2020-03 · Park S, Lee SM, Lee KH 외 4
- Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.
Ophthalmology · 2020-01 · Son J, Shin JY, Kim HD 외 3
- REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical image analysis · 2020-01 · Orlando JI, Fu H, Barbosa Breda J 외 28
- IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.
Medical image analysis · 2020-01 · Porwal P, Pachade S, Kokare M 외 54
- A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.
International journal of molecular sciences · 2019-12 · Joo M, Park A, Kim K 외 9
- Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.
Scientific reports · 2019-12 · Kim YG, Cho Y, Wu CJ 외 7
- DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs.
Scientific reports · 2019-11 · Kim J, Lee HS, Song IS 외 1
- Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer.
Korean journal of radiology · 2019-10 · Park S, Lee SM, Do KH 외 5
- Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
Journal of digital imaging · 2019-06 · Son J, Park SJ, Jung KH
- Acupuncture Improves Comorbid Cognitive Impairments Induced by Neuropathic Pain in Mice.
Frontiers in neuroscience · 2019-01 · Jang JH, Kim YK, Jung WM 외 8
- Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.
Journal of digital imaging · 2018-12 · Jang Y, Son J, Park KH 외 2
- A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.
Journal of Korean medical science · 2018-10 · Park SJ, Shin JY, Kim S 외 3
- Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning.
Acute and critical care · 2018-08 · Lee Y, Kwon JM, Lee Y 외 3
- Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
Journal of digital imaging · 2018-08 · Kim GB, Jung KH, Lee Y 외 5
- An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.
Journal of the American Heart Association · 2018-06 · Kwon JM, Lee Y, Lee Y 외 2
- Validation of deep-learning-based triage and acuity score using a large national dataset.
PloS one · 2018-01 · Kwon JM, Lee Y, Lee Y 외 3
- Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency.
AJR. American journal of roentgenology · 2017-12 · Kim JR, Shim WH, Yoon HM 외 4
- The Effects of Preoperative Education for Patients With Cancer: A Systematic Review and Meta-analysis.
Cancer nursing · Kim N, Yang J, Lee KS 외 1
Patents
KIPRIS · applicant-matchedRegistered · 2026-01 · Application 1020260013112
PCT · Published · 2026-01 · Application PCT/KR2026/000681
PCT · Published · 2026-01 · Application PCT/KR2026/000629
PCT · Published · 2026-01 · Application PCT/KR2026/000630
PCT · Published · 2025-11 · Application PCT/KR2025/018931
Registered · 2025-09 · Application 1020250135604
Rejected · 2025-08 · Application 1020250114963
Published · 2025-03 · Application 1020250031032
Published · 2025-03 · Application 1020250027899
Published · 2025-01 · Application 1020250010862
Show 234 more patents
Published · 2025-01 · Application 1020250011033
Registered · 2025-01 · Application 1020250008910
Published · 2024-12 · Application 1020240176698
Registered · 2024-11 · Application 1020240174630
PCT · Published · 2024-10 · Application PCT/KR2024/016958
US · Published · 2024-09 · Application 18896442
EP · Published · 2024-09 · Application 24872810.7
PCT · Published · 2024-09 · Application PCT/KR2024/014003
PCT · Published · 2024-09 · Application PCT/KR2024/013964
PCT · Published · 2024-09 · Application PCT/KR2024/013966
EP · Published · 2024-08 · Application 24865727.2
PCT · Published · 2024-08 · Application PCT/KR2024/012826
PCT · Published · 2024-08 · Application PCT/KR2024/012639
Published · 2024-04 · Application 1020240046376
Published · 2023-12 · Application 1020230184784
US · Published · 2023-10 · Application 19153307
US · Published · 2023-10 · Application 18870269
EP · Published · 2023-10 · Application 23921473.7
EP · Published · 2023-10 · Application 23898090.8
PCT · Published · 2023-10 · Application PCT/KR2023/017124
PCT · Published · 2023-10 · Application PCT/KR2023/017125
PCT · Published · 2023-10 · Application PCT/KR2023/016841
Published · 2023-09 · Application 1020230128990
Published · 2023-09 · Application 1020230124578
Published · 2023-09 · Application 1020230122607
Published · 2023-09 · Application 1020230117593
EP · Published · 2023-09 · Application 23907290.3
EP · Published · 2023-09 · Application 23885987.0
PCT · Published · 2023-09 · Application PCT/KR2023/013227
PCT · Published · 2023-09 · Application PCT/KR2023/013230
US · Registered · 2023-07 · Application 18349171
US · Published · 2023-07 · Application 18218016
Registered · 2023-04 · Application 1020230054761
Registered · 2023-04 · Application 1020230054763
Registered · 2023-04 · Application 1020230054762
Registered · 2023-04 · Application 1020230048149
US · Published · 2023-02 · Application 18844841
EP · Published · 2023-02 · Application 23799530.3
PCT · Published · 2023-02 · Application PCT/KR2023/002379
Registered · 2023-02 · Application 1020230021356
Registered · 2023-02 · Application 1020230017457
US · Published · 2023-01 · Application 18837151
EP · Published · 2023-01 · Application 23763605.5
EP · Published · 2023-01 · Application 23756515.5
PCT · Published · 2023-01 · Application PCT/KR2023/000378
PCT · Published · 2023-01 · Application PCT/KR2023/000374
Registered · 2022-12 · Application 1020220181687
Registered · 2022-12 · Application 1020220165855
Rejected · 2022-11 · Application 1020220159961
PCT · Published · 2022-11 · Application PCT/KR2022/018460
PCT · Published · 2022-11 · Application PCT/KR2022/018459
PCT · Published · 2022-11 · Application PCT/KR2022/018461
Registered · 2022-11 · Application 1020220153549
Registered · 2022-11 · Application 1020220144416
US · Published · 2022-10 · Application 18702737
PCT · Published · 2022-10 · Application PCT/KR2022/015911
PCT · Published · 2022-10 · Application PCT/KR2022/015917
Registered · 2022-08 · Application 1020220109262
Registered · 2022-08 · Application 1020220103387
PCT · Published · 2022-08 · Application PCT/KR2022/011904
PCT · Published · 2022-08 · Application PCT/KR2022/011816
Registered · 2022-06 · Application 1020220074294
Registered · 2022-05 · Application 1020220059337
Registered · 2022-05 · Application 1020220055152
Registered · 2022-04 · Application 1020220051868
TW · Registered · 2022-03 · Application 111112655
Registered · 2022-03 · Application 1020220039124
Withdrawn · 2022-03 · Application 1020220031230
Registered · 2022-03 · Application 1020220027221
US · Registered · 2022-03 · Application 18279823
PCT · Published · 2022-03 · Application PCT/KR2022/002928
Registered · 2022-02 · Application 1020220021177
Registered · 2022-02 · Application 1020220016810
Withdrawn · 2022-02 · Application 1020220016695
Registered · 2022-01 · Application 1020220010902
US · Registered · 2022-01 · Application 17582717
Withdrawn · 2022-01 · Application 1020220006418
Registered · 2022-01 · Application 1020220003788
Registered · 2022-01 · Application 1020220002160
Registered · 2021-12 · Application 1020210184015
Registered · 2021-12 · Application 1020210184014
Registered · 2021-12 · Application 1020210184013
US · Registered · 2021-12 · Application 17556529
TW · Registered · 2021-11 · Application 110144393
Registered · 2021-11 · Application 1020210161998
US · Registered · 2021-11 · Application 17533858
US · Published · 2021-11 · Application 18556517
US · Published · 2021-11 · Application 18260461
PCT · Published · 2021-11 · Application PCT/KR2021/016200
PCT · Published · 2021-11 · Application PCT/KR2021/016196
US · Registered · 2021-10 · Application 17509590
Registered · 2021-10 · Application 1020210139897
Registered · 2021-10 · Application 1020210139898
Registered · 2021-10 · Application 1020210139982
US · Registered · 2021-10 · Application 18553186
PCT · Published · 2021-10 · Application PCT/KR2021/014186
PCT · Published · 2021-10 · Application PCT/KR2021/014091
Registered · 2021-09 · Application 1020210126071
Registered · 2021-09 · Application 1020210122591
US · Published · 2021-09 · Application 17474059
Registered · 2021-09 · Application 1020210117903
US · Registered · 2021-09 · Application 17466697
US · Published · 2021-09 · Application 17466736
EP · Published · 2021-09 · Application 21867052.9
Registered · 2021-08 · Application 1020210112921
PCT · Published · 2021-08 · Application PCT/KR2021/011452
PCT · Published · 2021-08 · Application PCT/KR2021/011331
US · Published · 2021-08 · Application 18265601
EP · Published · 2021-08 · Application 21906784.0
US · Registered · 2021-06 · Application 17360897
EP · Published · 2021-06 · Application 21833328.4
Registered · 2021-06 · Application 1020210073688
Registered · 2021-06 · Application 1020210071364
US · Registered · 2021-05 · Application 17330102
EP · Published · 2021-04 · Application 21814196.8
Registered · 2021-04 · Application 1020210042510
US · Registered · 2021-03 · Application 17207750
EP · Registered · 2021-03 · Application 21163400.1
Published · 2021-03 · Application 1020210028533
Registered · 2021-03 · Application 1020210027245
Registered · 2021-02 · Application 1020210021562
Registered · 2021-02 · Application 1020210019002
Registered · 2021-01 · Application 1020210012162
Registered · 2021-01 · Application 1020210011187
Registered · 2021-01 · Application 1020210005489
Registered · 2021-01 · Application 1020210001606
Registered · 2020-12 · Application 1020200181634
Registered · 2020-12 · Application 1020200174710
Registered · 2020-12 · Application 1020200172388
Registered · 2020-12 · Application 1020200168183
Published · 2020-11 · Application 1020200162958
Registered · 2020-11 · Application 1020200162957
Registered · 2020-11 · Application 1020200155629
Registered · 2020-11 · Application 1020200146676
Registered · 2020-10 · Application 1020200140801
Registered · 2020-10 · Application 1020200140102
Registered · 2020-10 · Application 1020200139713
Registered · 2020-09 · Application 1020200118196
Registered · 2020-09 · Application 1020200118669
Registered · 2020-09 · Application 1020200118663
Registered · 2020-09 · Application 1020200117511
Registered · 2020-09 · Application 1020200114561
Registered · 2020-09 · Application 1020200114594
Registered · 2020-09 · Application 1020200114133
Registered · 2020-09 · Application 1020200113261
Registered · 2020-08 · Application 1020200103745
US · Registered · 2020-08 · Application 16991713
JP · Registered · 2020-08 · Application 32134933
Registered · 2020-07 · Application 1020200096232
Registered · 2020-07 · Application 1020200092344
Registered · 2020-07 · Application 1020200082912
Registered · 2020-07 · Application 1020200082359
Registered · 2020-06 · Application 1020200080294
Registered · 2020-06 · Application 1020200077352
Registered · 2020-06 · Application 1020200076056
Registered · 2020-04 · Application 1020200049734
Registered · 2020-04 · Application 1020200040862
Withdrawn · 2020-03 · Application 1020200037256
Registered · 2020-03 · Application 1020200035259
JP · Published · 2020-03 · Application 32041258
Registered · 2019-12 · Application 1020190168010
Abandoned · 2019-12 · Application 1020190167505
Registered · 2019-12 · Application 1020190162678
US · Published · 2019-12 · Application 17598289
EP · Registered · 2019-12 · Application 19928369.8
US · Published · 2019-12 · Application 17295880
Abandoned · 2019-10 · Application 1020190127502
Abandoned · 2019-10 · Application 1020190127501
Registered · 2019-09 · Application 1020190114578
Registered · 2019-08 · Application 1020190102632
Registered · 2019-08 · Application 1020190098941
Registered · 2019-08 · Application 1020190098920
Registered · 2019-06 · Application 1020190069729
Registered · 2019-06 · Application 1020190069494
Registered · 2019-06 · Application 1020190067194
Registered · 2019-05 · Application 1020190056141
Registered · 2019-05 · Application 1020190056142
Registered · 2019-04 · Application 1020190037863
JP · Registered · 2019-01 · Application 32514501
Rejected · 2018-12 · Application 1020180167691
US · Published · 2018-12 · Application 16963700
JP · Registered · 2018-12 · Application 32514562
Registered · 2018-12 · Application 1020180154848
Registered · 2018-11 · Application 1020180143469
Registered · 2018-11 · Application 1020180140769
Registered · 2018-10 · Application 1020180117406
Registered · 2018-09 · Application 1020180112716
Registered · 2018-08 · Application 1020180103513
Registered · 2018-08 · Application 1020180098946
Registered · 2018-08 · Application 1020180091902
JP · Registered · 2018-08 · Application 32530296
Registered · 2018-07 · Application 1020180088731
Registered · 2018-07 · Application 1020180084477
US · Registered · 2018-07 · Application 16759594
Registered · 2018-07 · Application 1020180079666
Registered · 2018-06 · Application 1020180073104
Registered · 2018-06 · Application 1020180070722
Withdrawn · 2018-06 · Application 1020180067951
Registered · 2018-05 · Application 1020180062484
Registered · 2018-05 · Application 1020180062480
Registered · 2018-05 · Application 1020180054758
Registered · 2018-05 · Application 1020180052313
Registered · 2018-04 · Application 1020180041316
Registered · 2018-04 · Application 1020180040972
Registered · 2018-04 · Application 1020180040974
Registered · 2018-04 · Application 1020180040173
Registered · 2018-04 · Application 1020180040394
Registered · 2018-03 · Application 1020180034535
Registered · 2018-03 · Application 1020180034538
Registered · 2018-02 · Application 1020180020912
Registered · 2018-02 · Application 1020180016636
Registered · 2018-01 · Application 1020180007526
Registered · 2018-01 · Application 1020180007517
Registered · 2018-01 · Application 1020180006503
Registered · 2018-01 · Application 1020180006502
Registered · 2018-01 · Application 1020180006498
US · Registered · 2018-01 · Application 16618488
Registered · 2017-12 · Application 1020170180406
Registered · 2017-12 · Application 1020170174315
Registered · 2017-11 · Application 1020170155988
Registered · 2017-10 · Application 1020170141129
Registered · 2017-10 · Application 1020170141130
Registered · 2017-08 · Application 1020170109290
Registered · 2017-08 · Application 1020170106529
Registered · 2017-08 · Application 1020170102265
Registered · 2017-08 · Application 1020170097618
Registered · 2017-08 · Application 1020170097653
Registered · 2017-05 · Application 1020170067838
Registered · 2016-09 · Application 1020160117465
Registered · 2016-03 · Application 1020160025149
US · Registered · 2015-12 · Application 15750299
Registered · 2015-09 · Application 1020167020397
Registered · 2015-09 · Application 1020177036475
Registered · 2015-09 · Application 1020167020457
AI reads
MAA server logs · IP-verifiedPulled records become part of each AI's index and keep feeding its answers. When an AI cites from that index, nothing reaches our server — so actual citations are uncounted here and exceed this number.
Times an AI needed something not yet in its index and fetched this page fresh while answering. Citations served from the index leave no trace here.
Collected as raw material for future answers.
Queries from users who connected this index to their own AI.
- OpenAIChatGPT-Userlive2
- OpenAIOAI-SearchBot85
- GoogleGoogleOther9
- PerplexityPerplexityBot3
- AnthropicClaudeBot2
- MicrosoftBingbot1
Measured since Aug 25, 2026 · 5 AI engines · last read Oct 9, 2026
User-agent strings can be forged, so we do not count them at face value. We count only requests matched against vendor-published IP ranges, or confirmed by forward-verified reverse DNS. MCP queries are actual calls to this index's tool endpoint.
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Connect it to ChatGPT or Claude, and your AI queries the full record — profiles, financials, stock data, regulatory approvals, clinical trials, publications and patents — for VUNO, Inc. and every listed Korean medical, bio and AI company.
How to connect (MCP)Companies approved for the same productsMedical AI
Ranked by how many MFDS product categories overlap. Not a ranking — a pointer to where to look.
Founded in 2008 and listed on KOSDAQ in 2021, DEEPNOID develops medical and industrial AI imaging solutions like DEEP:NEURO.
JLK offers the stroke AI solution MEDIHUB STROKE and holds 78 global regulatory approvals, including US FDA and Japan PMDA clearances.
Founded in 2009, SEERS provides the wearable ECG analysis solution mobiCARE and the inpatient monitoring solution thynC, based on AI vital-sign analytics.
Founded in 2012, Coreline Soft provides the AI-based chest CT diagnostic aid suite AVIEW for lung nodules, COPD, and coronary calcification.
KOSDAQ-listed X-ray imaging solution company with a full lineup of medical, dental, veterinary, and industrial X-ray detectors.
KOSDAQ-listed medical device company developing the HiCardi wearable patch-type patient monitor.
Founded in 1995 and listed on KOSDAQ in 2014, Mediana is a hospital medical device maker developing and manufacturing patient monitors and automated external defibrillators under its own brand and via ODM.
Founded in 2001 and KOSDAQ-listed in 2011, CU Medical Systems makes AEDs and other emergency medical devices.
Founded in 2016 and listed on KOSDAQ in 2025, Neurophet develops AI brain-imaging solutions AQUA, SCALE PET, and AQUA AD.
Founded in 2002, INFINITT Healthcare provides PACS-centered medical imaging software and AI diagnostic aids across multiple clinical specialties.
Founded in 2013, Lunit provides AI-driven cancer screening and oncology solutions through Lunit INSIGHT and Lunit SCOPE.
SELVAS Healthcare operates the ACCUNIQ medical diagnostic device brand and the HIMS assistive technology device brand.
Sources and updates
Counts on this page are not company-reported figures. MAA matched records from DART, the Korean MFDS, the US FDA, ClinicalTrials.gov, PubMed and KIPRIS to this company itself, by business registration number or registered name, never by name similarity. They may differ from figures the company publishes.
- Company basics
- Korea Exchange · DART
- Business content
- Compiled from disclosure filings
- Approvals & clinical trials
- Korean MFDS (data.go.kr) · US FDA openFDA — updated weekly
- Key disclosures
- KRX KIND via OpenDART exchange filings — updated daily
- Global clinical trials
- ClinicalTrials.gov (US NIH) — sponsor-matched, updated weekly
- Financials
- DART corporate disclosure filings — annual
- Publications
- PubMed (US National Library of Medicine) — affiliation-matched, updated daily
- Patents
- KIPRIS (Korea Institute of Patent Information) — applicant-matched, updated monthly
- AI reads
- Our server logs, IP-verified every 6 hours
- AI visibility
- Measured 2026-10-01
This page is compiled from public sources without the company's involvement. If anything is inaccurate or incomplete, please let us know. Materials provided by the company are labelled as such.
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