Exploring generative AI in healthcare

Amber Campbell, an undergraduate Computer Science and Engineering student, reflects on her experience attending the 2024 e-HAIL Symposium alongside her peers and mentors at CHEPS.

CHEPS student, Amber Campbell, views poster on the risks of utilizing Tik Tok as a medical search engine. A presenter speaks to her while pointing at the poster.
Amber Campbell learns about the complexities of using Tik-Tok as a search engine for medical device.

On September 13, I had a chance to attend the e-HAIL (E-Health and Artificial Intelligence) Symposium, which provided me the opportunity to learn more about generative AI in healthcare through a variety of engaging presentations. This included Dr. Susan A. Murphy’s keynote speech on reinforcement learning, interacting with researchers presenting posters on topics such as Tik-Tok as a search engine for medical advice and eye-tracking software as a tool for analysis of physician-AI interactions, as well as attending a panel discussion with Michigan-affiliated panelists from a variety of disciplines such as Michigan Medicine, CSE, and Health Sciences. Continue Reading »

CHEPS Fall 2023 Seminar Series: Andrew Fine

This week’s Providing Better Healthcare Through Systems Engineering seminar series welcomed Andrew M. Fine, MD, MPH to share his insight into using artificial intelligence (AI) as a tool to mitigate physician burnout. Students, faculty, staff, clinicians, and community members gathered to discuss both the potential and the risks of AI-supplemented healthcare.

Fine specializes in pediatric emergency medicine, innovating both children’s healthcare and public health at large. As a Senior Associate Physician in Pediatrics at the Boston Children’s Hospital, Fine has experienced firsthand the effects of provider burnout. He also serves as an Associate Professor in Pediatrics and Emergency Medicine at Harvard Medical School. Continue Reading »