• Convergence Educational Program

    for Medical Artificial Intelligence

  • This program capitalizes on Kyung Hee University's extensive medical and healthcare infrastructure and
    its exceptional research capabilities in artificial intelligence to nurture practice-oriented professionals in
    medical AI through interdisciplinary education integrating medicine, dentistry, Korean medicine, AI, big data,
    and software. Specifically, it aims to train future medical AI specialists through the analysis of multimodal
    data generated by emergency medical systems, the convergence of medical AI specialists across medicine,
    dentistry, and Korean medicine, and the training of world-class precision medical AI experts using global datasets.

Educational Objectives

  • Multimodal Medical Data AI Specialist
    Chapter 01: Future Emergency Medical AI Education/Research

    • Fusion analysis of multimodal medical data: Biosignals (ECG, PPG), Imaging (CT, MRI, X-ray), Clinical data (EMR, vital signs), Language data (communication between paramedics and clinicians)

    • Development of optimized AI-based emergency diagnosis and treatment protocols

    • Collaboration with 8 regional emergency medical centers in Korea

    • Establishment of a future emergency medical AI test-bed

  • World-Class Precision Medicine AI Specialist
    Chapter 02: Global Joint Precision Medicine AI Education/Research

    • Global strategic collaboration with the world's top universities

      - New York University School of Medicine: Medical imaging AI - Harvard Medical School: Clinical & genomic AI - Cornell University: Molecular information AI - University of Connecticut: Biosignal AI

    • Operation of Global medical AI research labs for joint research and education

  • Convergence Medical AI Specialist
    Chapter 03: Convergence Medical AI Education/Research

    • Leads AI education and research combining medicine, dentistry, and Korean medicine

    • Research on Multimodal AI Models combining Multidisciplinary Medical Data

    • Medicine + Korean Medicine, Dental AI, Multidisciplinary AI for disease prediction

Educational Tracks

  • AI Doctor Track

    • Undergraduate students in medicine, dentistry, Korean medicine Programming + AI fundamentals → Apply AI to clinical decision-making

  • Medical AI Track

    • undergraduate students in engineering departments Analyze medical data and apply AI to healthcare applications

  • Advanced Medical AI Track

    • Graduate (Master’s/PhD) students Advanced medical AI research, industry collaboration, global collaboration research