Artificial Intelligence (AI) in Biomedical Engineering (BME) Education

Thursday, October 12, 2023

8:00 AM – 9:30 AM PDT

Location: 434 (Center, Level 4)

Moderator(s)

PR

Parisa Rashidi

Associate Professor, UF Term Professor, Pruitt Family Endowed Fellow
University of Florida, United States
Ruogu Fang, PhD (she/her/hers)

Associate Professor & J. Crayton Pruitt Family Term Fellow
University of Florida
Gainesville, Florida, United States

Speaker(s)

Princess Imoukhuede, PhD (she/her/hers)

Principal Investigator
University of Washington
Seattle, Washington, United States
Mv

Marjolein van der Meulen

Department Chair
Cornell University
Christine E. E. Schmidt, PhD (she/her/hers)

Distinguished Professor & J. Crayton Pruitt Family Endowed Chair
University of Florida
Gainesville, Florida, United States
JW

John A. White

Chair and Professor of Biomedical Engineering
Boston University, United States
BW

Bruce Wheeler

Former Department Chair
University of California at San Diego (UCSD)
Anthony Guiseppi-Elie, Sc.D.;FAIMBE;FIEEE;FBMES;FRSC

Adjunct Professor, College of Engineering
Texas A&M University
Anderson, South Carolina, United States
WH

William Hsu, PhD

NIH Bridge2AI Skills & Workforce Development Core
UCLA

The "Artificial Intelligence (AI) in Biomedical Engineering (BME) Education" panel brings together distinguished experts, including current and former BME department chairs, as well as senior Biomedical AI faculty, to discuss the far-reaching impact of AI on BME education and the development of future biomedical engineers. The discussion will cover various aspects, such as the integration of AI into BME education, identifying gaps and opportunities, and sharing valuable lessons learned. The panel will also examine the impact of AI tools on BME education, including generative AI models such as ChatGPT and other similar models for simulation or text generation. Through this dynamic conversation, the panel aims to explore the transformative potential of AI in the curriculum, highlighting how it can enhance learning experiences, accelerate research advancements, and address ethical considerations in the BME field. By sharing their expertise and insights, the panel seeks to initiate meaningful dialogues that shape a future where AI seamlessly integrates with biomedical engineering education, potentially paving the way for a new BMES working group.