Biomedical Informatics Lab

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

Prerequisite

• Highly recommend finish both "DHC5031 Introduction to Medical Informatics" and "DHC5036 Machine Learning in Medicine"

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

• U.S. National Academy of Medicine, Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril
• Y. Liu et al. How to Read Articles That Use Machine Learning, JAMA 2019; 322(18): 1806-1816.
• L. Faes et al. A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies, Translational Vision Science & Technology 2019; 9(7).
• (Optional)
  • (in Korean) 최윤섭, 의료 인공지능; 최윤섭, 디지털 헬스케어
  • 6.S897/HST.956: Machine Learning for Healthcare in MIT

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)
   • Reading materials
     • (Mandatory) Korean Society of Artificial Intelligence in Medicine - AI in Medicine in Korea (Whitepaper) (in Korean)
   • Assignment #1
2. 03/20: Precision medicine (MIT lecture)
   • Video (Mandatory): Realizing the Promise of Precision Medicine
   • Reading materials
     • (Mandatory) Hodson, R. Precision medicine. Nature 537, S49 (2016)
     • (Mandatory) Collins FS & Varmus H. A new initiative on precision medicine. N Engl J Med. 372(9):793-5 (2015)
   • Assignment #2
3. 03/27: Data preprocessing & Results understanding
   • Reading materials
     • (Mandatory) Understanding medical tests: sensitivity, specificity, and positive predictive value
4. 04/03: Clinical image processing
5. 04/10: Clinical NLP
6. 04/17: Clinical signal processing
7. 04/24: Ethics, Fairness, & Robustness
   • Reading materials
     • (Optional) AMA Journal of Ethics, Artificial Intelligence in Health Care (special issue)
8. 05/01: Explainability
   • Reading materials
     • (Optional) AAAI-20 Tutorial
9. 05/08: Privacy: Privacy-Preserving Data Mining
   • Reading materials
     • (Mandatory) WWW 2019 (The Web Conference) Tutorial
     • (Optional) Additional material : MIT Lecture: Slide, Video
10. 05/15: Regulation
    • Reading materials
      • (Mandatory) Korean MFDS 인공지능 기반 의료기기의 임상 유효성 평가 가이드라인 (in Korean)
      • (Mandatory) Korean MFDS 빅데이터 및 인공지능 기술이 적용된 의료기기 허가심사 가이드라인 (in Korean)
      • (Mandatory) Process of Medical Device Approval in Korea (in Korean)
11. 05/22: Clinical evaluation (open discussion)
    • Reading materials
      • (Mandatory) BMJ systematic review
      • (Mandatory) Angus DC. Randomized Clinical Trials of Artificial Intelligence. JAMA. Published online February 17, 2020.
      • (Optional) Artificial intelligence could revolutionize medical care. But don’t trust it to read your x-ray just yet
    • Assignment
12. 05/29: Business model of AI S/W (open discussion)
    • Reading materials (in Korean):
      • (Mandatory) US Medical AI Reimbursement Case (by Chiweon Kim)
      • (Mandatory) Medical AI BM (by Chiweon Kim)
    • Assignment
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