AI Primer for Everyone

The ABAIM AI Primer for Everyone is a one-day virtual course designed for healthcare executives, industry partners, nurses, administrators, respiratory therapists, radiology techs, trainees, students, patients, and all stakeholders to gain a working knowledge of basic AI principles. This class is an ideal first step for anyone interested in AI.

This interactive, discussion-driven course will answer all of the following questions and more:

  • How can your organization deploy AI?
  • Which technologies will benefit your patients and boost your workflow?
  • How do you prepare yourself to make use of AI?
  • What are the differences between various emerging AI technologies?

Learning objectives:

  • How to set up an AI strategy and/or an AI center at your organization
  • How to evaluate different AI technologies
  • How to communicate with data scientists, vendors, and colleagues about AI
  • How to reduce bias and approach AI from an ethical framework
  • Become conversant in AI technologies
  • Learn to make decisions that will positively impact your patients and your organization

Schedule (All times ET)

9:00 am - 10:15 am

Orientation to the ABAIM Artificial Intelligence Primer
- 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)
- History of Artificial Intelligence (Module 2.1)
- History of Artificial Intelligence in Medicine (Module 3.1)

11:30 am - 12:30 pm

Lunch Session (Data Science Project)

12:30 pm - 1:30 pm

II. Data Science and Artificial Intelligence in the Current Era
- Healthcare Data and Databases (Modules 4.1-4.4)
- Machine and Deep Learning (Part I)(Modules 5.1-5.17)

1:30 pm - 1:45 pm

Short Break

1:45 pm - 3:00 pm

II. Data Science and Artificial Intelligence in the Current Era (continued)
- Machine and Deep Learning (Part I)(Modules 5.1-5.17)
- Other Key Concepts in Artificial Intelligence (Modules 6.1-6.4)

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)
- 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)

5:00 pm - 6:00 pm

FInal Q/A and Networking

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Healthcare Leaders Registration
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Radiology, Cardiology, etc.
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