ABAIM Introductory Course

  • June 7, 2024
  •  - 
  • June 8, 2024
  • 9:00 am
  •  - 
  • 6:00 pm EST
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Course Faculty
Anthony Chang
Alfonso Limon
Flora Wan
Ioannis Kakadiaris
May D. Wang
Robert Hoyt
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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).


Schedule (All times ET)

Day 1
9:00 am - 10:15 am

Orientation to the ABAIM Artificial Intelligence in Medicine Introduction Course
- Faculty and attendee introductions and welcome

10:15 am - 10:30 am

Short Break

10:30 am - 11:30 am

I. Introduction to Artificial Intelligence
- Basic Concepts of Artificial Intelligence (Modules 1.1-1.5)

11:30 am - 12:30 pm

Lunch Session (ChatGPT)

12:30 pm - 1:30 pm

I. Introduction to Artificial Intelligence (Continued)
- History of Artificial Intelligence (Module 2.1)
- History of Artificial Intelligence in Medicine (Module 3.1)

1:30 pm - 1:45 pm

Short Break

1:45 pm - 3:00 pm

II. Data Science and Artificial Intelligence in the Current Era
- Healthcare Data and Databases (Modules 4.1-4.4)

II. Data Science and Artificial Intelligence in the Current Era (continued)
- Machine and Deep Learning (Part I)(Modules 5.1-5.8)

3:00 pm - 3:30 pm

Long Break

3:30 pm - 5:00 pm

II. Data Science and Artificial Intelligence in the Current Era (continued)
- Machine and Deep Learning (Part II)(Modules 5.9-5.12)

5:00 pm - 6:00 pm

Networking

Schedule (All times ET)

Day 2
10:00 am - 11:15 am

Review of Day 1

II. Data Science and Artificial Intelligence in the Current Era
- Machine and Deep Learning (Part III)(Modules 5.13-5.17)
- Assessment of Model Performance
- Issues with Machine and Deep Learning

11:15 am - 11:30 am

Short Break

11:30 am - 12:30 pm

II. Data Science and Artificial Intelligence in the Current Era (continued)

12:30 pm - 1:30 pm

Lunch Session (REAL Issues of AI in Healthcare)

1:30 pm - 2:30 pm

II. Data Science and Artificial Intelligence in the Current Era (continued)
- Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)

2:30 pm - 2:45 pm

Short Break

2:45 pm - 4:00 pm

II. Data Science and Artificial Intelligence in the Current Era (continued)
- Clinician Cognition and AI in Medicine (Modules 7.1-7.6)

III. The Current Era of Artificial Intelligence in Medicine (continued)
- Artificial Intelligence in Subspecialties (Modules 8.1-8.5)

IV. The Future of Artificial Intelligence and Application in Medicine
- Key Concepts of the Future of AI (Modules 10.1-10.2)
- The Future of Artificial Intelligence in Medicine (Module 11.1)

Final Q&A

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