Buyer guide

    Korean healthcare AI

    Clinical products separated by workflow, regulatory scope, and real deployment evidence.

    Selection principle

    Regulatory clearance supports defensibility; deployment scale determines real-world reach.

    Updated 2026-09-04

    What we compare

    1. 01Exact regulated module
    2. 02Deployment or case volume
    3. 03Clinical integration

    01

    Lunit INSIGHT
    sourced

    Lunit · korea · Impact 82

    Mammography, DBT, and chest X-ray assistance

    Providers that need documented international deployment and module-level regulatory evidence

    Pricing requires a healthcare sales process

    Deployment

    Clinical radiology workflow · PACS and viewer integration

    Open evidence

    02

    Lunit SCOPE
    sourced

    Lunit · korea · Impact 76

    Clinical, healthcare IT, research, or life-sciences teams

    No public API documentation is recorded

    Deployment

    Verify with vendor

    Open evidence

    03

    VUNO Med
    sourced

    Vuno · korea · Impact 79

    Chest X-ray, retinal imaging, bone-age, and cardiac-risk workflows

    Korean providers that need module-specific regulatory evidence

    Product-specific deployment counts are not disclosed

    Deployment

    Hospital imaging and clinical workflow

    Open evidence

    04

    AiTiA (에이티아)
    sourced

    Medical AI · korea · Impact 72

    12-lead ECG deep-learning analysis for LV systolic dysfunction

    Acute myocardial infarction screening (AiTiA MI)

    No public API documentation is recorded

    Deployment

    Embedded or physical deployment mentioned

    Open evidence

    These are explainable shortlists, not paid placements. Inclusion uses the criteria above and the evidence attached to each catalog row. Missing information is shown as a limitation rather than silently estimated.