ABAIM Introductory Course

Date

Aug 05 - 06 2022

Time

EDT
9:00 am - 5:00 pm

The ABAIM AI in Medicine Introductory Course is a comprehensive, two-day course on basic concepts in artificial intelligence in clinical medicine and healthcare designed by a team of clinician-data scientists as well as clinicians with an AI focus and data scientists who are involved in healthcare. This course is for all who are interested in having an overall review of concepts and applications in artificial intelligence in clinical medicine and healthcare.

About the course:

  • The format is “flipped” in that much of the review will be faculty discussing (not presenting) slides
  • In addition, the attendees are encouraged to ask questions throughout the sessions
  • There will also be a “pre” and “post” review course assessment with half the number of questions (50 questions) as the certification assessment (110 questions).

This course as well as independent study will prepare any attendee for the ABAIM AI in Medicine Assessment and Certification (110 questions in 2 hours).



Hourly Schedule

Day 1

9:00 - 10:15
Orientation to the ABAIM Artificial Intelligence in Medicine review course
I. Introduction to Artificial Intelligence
-Faculty and attendee introductions
10:15 - 10:30
Short Break
10:30 - 11:30
I. Introduction to Artificial Intelligence (Continued)
- Basic Concepts of Artificial Intelligence (Modules 1.1-1.5)
11:30 - 12:30
LUNCH SESSION (Entrepreneurship in AI in Medicine and Q&A)
12:30 - 1:30
II. Data Science and Artificial Intelligence in the Current Era
- History of Artificial Intelligence (Module 2.1)
- History of Artificial Intelligence in Medicine (Module 3.1)
- Healthcare Data and Databases (Modules 4.1-4.4)
1:30 - 1:45
Short Break
1:45 - 3:00
II. Data Science and Artificial Intelligence in the Current Era (continued)
- Machine and Deep Learning (Part I)(Modules 5.1-5.8)
3:00 - 3:30
Long Break
3:30 - 5:00
II. Data Science and Artificial Intelligence in the Current Era (continued)
- Machine and Deep Learning (Part II)(Modules 5.9-5.12)
5:00 - 6:00
Networking

Day 2

10:00 - 11:15
Review of Day 1
II. Data Science and Artificial Intelligence in the Current Era
- Machine and Deep Learning (Part III)(Modules 5.15-5.17)
- Assessment of Model Performance
- Evaluation of Classification Models
- Issues with Machine and Deep Learning
11:15 - 11:30
Short Break
11:30 - 12:30
- Machine and Deep Learning (Part III)(Modules 5.15-5.17)
- Assessment of Model Performance
- Evaluation of Classification Models
- Issues with Machine and Deep Learning
- Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)
12:30 - 1:30
Lunch Session (Ethics in AI in Healthcare)
12:30 - 1:30
III. The Current Era of Artificial Intelligence in Medicine
IV. The Future of Artificial Intelligence and Application in Medicine
- Clinician Cognition and AI in Medicine (Modules 7.1-7.6)
- Artificial Intelligence in Subspecialties (Modules 8.1-8.5)
- Key Concepts of the Future of AI (Modules 10.1-10.2)
- The Future of Artificial Intelligence in Medicine (Module 11.1)
1:30 - 1:45
Short Break
1:45 - 3:00
Post-Course Assessment or Miscellaneous Topics