Series date: 
03/17/2026 - 12:00pm CDT to 05/19/2026 - 1:00pm CDT
Location

Please check the individual session for location or broadcast availability.  


Frequency

Semi-monthly


Series Director

Chirayu Shah, MD

Series Co-Director

Ruchi Gaba, MD


Target Audience
This activity is intended for faculty in clinical, research, and educational roles who want to integrate artificial intelligence into their workflows to augment their skills.
Needs Statement

Artificial intelligence (AI) is a relatively new technology with significant potential in healthcare if implemented in a strategic and safe manner. However, there are challenges in integrating AI into workflows because of limited foundational knowledge, ethical concerns, and insufficient exposure to practical tools that enhance efficiency and innovation. This series aims to bridge the gap between theoretical knowledge and real-world clinical practice, promote the use of research tools such as literature review automation and data analytics, and advance the application of AI-driven educational methods synergistically with the Learning Health System. By focusing on practical applications, ethical challenges, and future innovations, the series seeks to  break down barriers to the implementation of AI and to foster innovation and collaboration.


Educational Methods

Educational methods will include lectures, case presentations, and panel discussion.


Objectives

At the conclusion of the sessions, the participants should be able to:

  • Define artificial intelligence (AI) and describe its foundational principles, applications, potential, and limitations in healthcare.
  • Identify and utilize AI tools to streamline clinical workflows, enhance curriculum design, and improve patient care.
  • Develop strategic approaches to seamlessly integrate cutting-edge AI solutions into academic medicine.
  • Analyze ethical challenges related to AI and apply strategies to ensure responsible implementation of AI in healthcare.
  • Implement AI-based data analytic tools to streamline research workflows, improve data accuracy, and accelerate the discovery process.

Evaluation

Participants may be asked to complete a session evaluation.


Accreditation/Credit Designation

Baylor College of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Baylor College of Medicine designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Series Coordinator 
Jocelyn Lapointe
[email protected]
713-798-9154
Series location: 
Baylor College of Medicine
One Baylor Plaza
Houston, TX 77030
United States

Sessions

Session Date
The State of AI in 2026 03/17/2026 - 12:00pm to 1:00pm CDT