2020 Spring DHC5035 Deep Learning in Medicine

Course Description

    • This class will discuss the topics to be considered when applying deep learning in clinical practice
    • The topics will cover diverse topics from data standards to ethical consideration
    • This class will consider the students know the intermediate knowledge in machine learning including deep learning

 

Instructor

    • Prof. Soo-Yong Shin (sy.shin (at) skku.edu)

Date & Room

    • Friday 9:00 AM ~ 11:50 AM
    • 임상교육장, College of Medicine, B-9F Irwon building
    • Remote classroom: https://skku-ict.webex.com/meet/sy.shin (the same link for all lectures)
      • The online lecture will start 3/20 (Week 2)

 

 Reference

Evaluation

    • Attendance: 10%
    • Assignment: 20%
      • Assignments will be given irregularly based on the topic of each class
      • Students should submit an assignment before next class
    • Open discussion: 30%
    • Final term: 40%

 

Assignment

    • All assignments should be submitted to Instructor via email.
      • File naming convention: DeepLearning_Assignment(No)_ID_Name ex) DeepLearning_Assignment1_20201234_홍길동.doc
    • Assignment #1 (Due date: 03/19 23:00)
      • Describe your opinion freely after reading AI in Medicine in Korea Whitepaper (by KOSAIM)
      • More than 2 page (MS Word or PDF) in Korean or English
    • Assignment #2 (Due date: 03/26 23:00)
      • Describe your opinion on precision medicine
      • More than 1 page (MS Word or PDF) in Korean or English

 

Final Term

    • Deadline: June 22, 2020 (Midnight)
    • Submitting your paper in the PDF or MS Word format.
    • File name convention: DHC5035_ID_NAME. ex) DHC5035_20201234_홍길동.pdf
    • Final term (read this file carefully)

 

Course Schedule

(course schedule can be changed.)

    1. 03/13: Course Introduction & Deep Learning State-of-the-art (MIT lecture. Video)
    2. 03/20: Precision medicine (MIT lecture)
    3. 03/27: Data preprocessing & Results understanding
    4. 04/03: Clinical image processing
    5. 04/10: Clinical NLP
    6. 04/17: Clinical signal processing
    7. 04/24: Ethics, Fairness, & Robustness
    8. 05/01: Explainability
    9. 05/08: Privacy: Privacy-Preserving Data Mining
    10. 05/15: Regulation
    11. 05/22: Clinical evaluation (open discussion)
    12. 05/29: Business model of AI S/W (open discussion)
    13. 06/05: Future medicine: AI with doctor vs. AI without doctor (open discussion)
      • Assignment
    14. 06/12: Overview: Deep learning in medicine (Special lecture by Dr. Yoonseop Choi)
    15. 06/19: Finalterm