ABAIM Review Course
The ABAIM AI in Medicine Review 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. The format is “flipped” in that much of the review will be faculty discussing (not presenting) slides (much less than conventional courses) and questions with answers. 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 (100 questions).
This course as well as independent study will prepare any attendee for the ABAIM AI in Medicine Assessment and Certification (100 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
II. Data Science and Artificial Intelligence in the Current Era - - Basic Concepts of Artificial Intelligence (Modules 1.1-1.5)
- History of Artificial Intelligence (Module 2.1)
- History of Artificial Intelligence in Medicine (Module 3.1) -
Speakers:
Anthony Chang, Orest Boyko
- 10:15 - 10:30
- Short Break
- 10:30 - 11:30
- II. Data Science and Artificial Intelligence in the Current Era
- - Healthcare Data and Databases (Modules 4.1-4.4)
-
Speakers:
Anthony Chang, Orest Boyko
- 11:30 - 12:30
- Lunch Break
- 12:30 - 1:45
- II. Data Science and Artificial Intelligence in the Current Era
- - Machine and Deep Learning (Part II)(Modules 5.9-5.14) (Slides 130-164)
- Ensemble Learning
- Neural Networks -
Speakers:
Anthony Chang, Orest Boyko
- 1:45 - 2:00
- Short Break
- 2:00 - 3:00
- II. Data Science and Artificial Intelligence in the Current Era
- - Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)
-
Speakers:
Anthony Chang, Orest Boyko
- 3:00 - 3:30
- Long Break
- 3:30 - 5:00
- Q&A
-
Speakers:
Anthony Chang, Orest Boyko
- 5:00 - 6:00
- Networking
Day 2
- 9:00 - 10:15
- 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 -
Speakers:
Anthony Chang, Orest Boyko
- 10:15 - 10:30
- Short Break
- 10:30 - 11:30
- III. The Current Era of Artificial Intelligence in Medicine
- - Clinician Cognition and Artificial Intelligence in Medicine (Modules 7.1-7.6)
-
Speakers:
Anthony Chang, Orest Boyko
- 11:30 - 12:30
- Lunch Break
- 12:30 - 1:45
- III. The Current Era of Artificial Intelligence in Medicine
IV. The Future of Artificial Intelligence and Application in Medicine - - Artificial Intelligence in Subspecialties (Modules 8.1-8.5)
- Key Concepts of the Future of Artificial Intelligence (Modules 10.1-10.2)
- The Future of Artificial Intelligence in Medicine (Module 11.1) -
Speakers:
Anthony Chang, Orest Boyko
- 1:45 - 2:00
- Short Break
- 2:00 - 3:00
- Artificial Intelligence in Medicine
- - Miscellaneous Topics
-
Speakers:
Anthony Chang, Orest Boyko
- 3:00 - 3:30
- Long Break
- 3:30 - 5:00
- Review: Pre-Course Assessment
-
Speakers:
Anthony Chang, Orest Boyko
- 5:00 -
- Adjourn

