Event Description
Topic
Artificial Intelligence to Harness Complex Systems in Pediatric Cardiology
Presented By
Cedric Manlhiot PhD, director, Cardiovascular Analytic Intelligence Initiative (CV-Ai2); assistant professor, Department of Pediatrics, Division of Cardiology, Blalock-Taussig-Thomas Heart Center, Johns Hopkins School of Medicine
Learning Objectives
- Explain how current clinical
research methods used in pediatric
cardiology can result in a loss of
information, and when and how
artificial intelligence methods can
solve this problem
- Evaluate concrete examples of
clinical research questions where
artificial intelligence methods
generated additional insights over
traditional modelling methodst
- Discuss the challenges and
limitations of artificial intelligence
in clinical settings and recognize
barriers to implementation and
future prospects for this technology
Target Audience
Physicians, nurse practitioners, nursing personnel, fellows, residents, medical students and other health care professionals who take care of children
Accreditation Statement
Tower Health is accredited by the Pennsylvania Medical Society to provide continuing medical education for physicians.
Tower Health designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Claiming CME Credits
Attendees MUST sign in with the six-digit activity code provided at the session using eeds within 24 hours of the conference start time and complete the online evaluation within 30 days at
http://towerhealth.eeds.com. |
