Learning Objectives:

  1. Differentiate between traditional team structures and dynamic teaming in the context of integrating AI tools.
  2. Identify the potential advantages and challenges of utilizing automatic/automated machine learning in surgical settings.
  3. Recognize how large language models can be used to support surgical education.

Session Faculty:
Anai N. Kothari, MD has no relevant financial relationships to disclose

Faculty member does not plan on discussing unlabeled/investigational uses of a commercial products

Session date: 
11/17/2023 - 8:00am to 9:00am EST
Location: 
BUCASM
United States
  • 1.00 ABS Accredited CME
  • 1.00 AMA PRA Category 1 Credit™

    Boston University Chobanian & Avedisian School of Medicine designates this Live activity for a maximum of 1.00 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

  • 1.00 Participation
Please login or register to take this course.