Data Augmented, Technology Assisted Medical Decision Making (DATA-MD)

Monday, July 1, 2024, 12:59 PM - Wednesday, June 30, 2027, 1:59 PM


AMA PRA Category 1 Credits™ (3.50 hours), Non-Physician Attendance (3.50 hours)

This online curriculum will introduce learners to artificial intelligence (AI) and machine learning (ML) in health care. After this activity, participants will be able to: 
- Apply the steps of developing healthcare artificial intelligence systems. 
- Specify the strengths and limitations of using artificial intelligence in diagnostic decision-making. 
- Critically appraise diagnostic studies that include artificial intelligence. 
- Illustrate the ethical and legal implications of using AI.

1. Describe the crucial role, strengths, limitations of AI and ML in evidence-based medical decision making
2. Evaluate machine learning studies for bias and systematic error to enhance diagnostic decisions
3. Apply the results of machine learning studies and outputs to diagnostic decisions
4. Identify legal and ethical issues and best practices for AI and ML use in healthcare settings

Physicians - AMA PRA Category 1  The University of Michigan Medical School designates this enduring material for a maximum of 3.5 AMA PRA Category 1 Credit(s)™.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

For questions regarding this activity, please contact:

• Cheri Breadon,
• Jessica Virzi

Faculty and Disclosures:

• Planner: Cornelius James
• Co-Planner: Jessica Virvzi
• Presenters: Maggie Makar, Benjamin Li, Nicholson Price, Karandeep Singh
  • Karandeep Singh, a presenter for this educational activity, was a consultant for Flatiron Health. This relevant financial relationship has been mitigated.
  • No other planners or presenter have relevant financial relationship(s) with ineligible companies to disclose.

• Activity Coordinators: Cheri Breadon, Jessica Virzi

Mitigation of Relevant Financial Relationships

The University of Michigan Medical School adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, or others are required to disclose all relevant financial relationships with ineligible entities. 

All of the relevant financial relationships listed for those individuals have been mitigated.

No other planners or presenters  for this educational activity have relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.