CME Program Detail...
Artificial Intelligence in Medicine
Date: Tue, Dec 10th, 2024
Time: 8:00 am - 9:00 am
Location: Online
Ashley N. Beecy, M.D., FACC, RPVI
Assistant Professor of Medicine (Cardiology)
Weill Cornell Medicine
Medical Director of Artificial Intelligence (AI) Operations
NYP/Weill Cornell Medical Center
Pierre A. Elias, M.D.
Assistant Professor of Cardiology and Biomedical Informatics
Columbia University Vagelos College of Physicians & Surgeons
Medical Director for Artificial Intelligence
NYP/Columbia University Irving Medical Center
Disclosures: Dr. Elias is a Recipient of Research Grants from Edwards, Pfizer, Eidos, Janssen.
All relevant relationships have been mitigated.
Target Audience: physicians, fellows, residents, students, PAs, NPs
> Explain the fundamental principles of artificial intelligence, including machine learning and deep learning, and their applications in clinical practice.
> Learn to critically assess the limitations, potential biases, and regulatory considerations of AI systems in healthcare to ensure safe and ethical implementation.
> Review and learn about projects going on at NYP that use AI to help improve patient care and support clinicians.
Accreditation
NewYork Presbyterian/Queens is accredited by the Medical Society of the State of New York (MSSNY) to provide continuing medical education for physicians.
NewYork Presbyterian/Queens designates this Live Activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Disclosure Statement
The Medical Society of The State of New York relies upon planners and faculty participants in its CME activities to provide educational information that is objective and free of bias. In this spirit and in accordance with the guidelines of MSSNY, CPME and the ACCME, all speakers and planners for CME activities must disclose any relevant financial relationships with
commercial interests whose products, devices or services may be discussed in the content of a CME activity, that might be perceived as a real or apparent conflict of interest. Any discussion of investigational or unlabeled uses of a product will be identified.
Grand Rounds
Department: Medicine
Specialty: Internal Medicine
CME Credit Hours: 1.0
Event Sponsors:
NYPQ CME
