Objectives

After participating in this educational activity, attendees should be able to:

1. To review advancements in artificial intelligence (AI) in the context of its use in medical education
2. To explore the initial integration of AI technologies in medical education by presenting use cases to gain insights into the potential benefits and challenges
3. To provide a guided experience of AI use in medical education

Faculty

Armando Paez, MD, FACP, FIDSA
Chief, Division of Infectious Diseases
Director, Infectious Diseases Fellowship Program
Associate Professor, UMass Chan Medical School-Baystate

Faculty Disclosure

The design and content of Baystate Continuing Interprofessional Education (CE) activities support quality improvement in healthcare and provide fair and balanced views of therapeutic options. Any relevant financial relationships are mitigated prior to the educational activity.

None of the planners or faculty 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. 

Accreditation Statement
In support of improving patient care, Baystate Health is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

Physicians
Baystate Continuing Interprofessional Education designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)^TM.  Physicians should only claim the credit commensurate with the extent of their participation in the activity.