MENU e-HAIL Symposium 2024-Highlights
On Friday, September 13, more than 180 faculty, staff, and students from the Medical School, the College of Engineering, and a range of other Schools and Colleges, attended the 3rd annual e-HAIL symposium, Generative AI in Healthcare. Accelerating interdisciplinary collaborations through opportunities for engagement around AI & health research is a major focus of the e-HAIL initiative, and the symposium was set up to maximize learning from and connecting with fellow faculty researchers interested or working in this field.
The event kicked off with opening remarks from Julie Lumeng, M.D., Associate Dean for Clinical Research for the Medical School, Associate Vice President for Clinical and Human Subjects Research, and featured two informative keynotes:
Language Models As Temporary Training Wheels to Improve Mental Health (recording coming soon)
Tim Althoff, M.S., Ph.D., Assistant Professor, Computer Science, University of Washington
Online Reinforcement Learning in Digital Health Interventions (recording coming soon)
Susan A. Murphy, Ph.D., Mallinckrodt Professor of Statistics and of Computer Science; Associate Faculty, Kempner Institute, Harvard University
A video research showcase gave e-HAIL members the chance to pre-record short videos that highlighted new research ideas and current projects, providing the opportunity for potential conversations and collaborations. View the videos below.
Textbook Q-Bank Creation Using ChatGPT RAG
Michael Burns, M.D., Ph.D., Anesthesiology; David Clark, Anesthesiology
Towards Modeling Human Biorhythms Using Non-Invasive Approaches
Mohamed Abouelenien, Ph.D., College of Engineering and Computer Science; Kapotaksha Das, College of Engineering and Computer Science; Mihai Burzom Ph.D., College of Innovation and Technology
Estimating Individualized Treatment Effects for Anti-Obesity Medications and Other Weight-Management Treatments to Inform Preference Sensitive Treatment Plans for Obesity
James Henderson, Ph.D., General Medicine; Dina Griauzde, M.D., M.Sc., General Medicine; Devvrat Malhotra, M.D., M.P.H., General Medicine
Large Scale Data Management for Healthcare Data
Lin Ma, Ph.D., Computer Science and Engineering Division
Human Phenotype Ontology and Common Data Models of Mood Disorders
Melvin McInnis, M.D., Psychiatry; Anastasia Yocum, Ph.D., Psychiatry; Sarah Sperry, Ph.D., Psychiatry; Rachel Richesson, Ph.D., M.P.H., M.S., FACMI, Learning Health Sciences
CORE (COnnecting REsearch)
Karthik Ramani, M.D., M.H.A., Internal Medicine; Ethan Marshall, College of Engineering, Amit Dongaonkar, University of Michigan
Deep Learning Methods for Public Health Response
Alexander Rodríguez, Ph.D., Computer Science and Engineering
Privacy-Preserving Sensors for Long-Term Health and Wellness Monitoring
Alanson Sample, Ph.D., Computer Science Engineering
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning
Jingying Wang, CSE; Haoran Tang, CSE; Taylor Kantor, Med; Tandis Soltani, Med; Vitaliy Popov, Ph.D., Med; Xu Wang, Ph.D., CSE
A poster session where teams of students and postdocs presented impressive, recent work took place during lunch, giving attendees the chance to interact, connect, and ask questions. You can see the full list of posters here.
The poster session was followed immediately by an expert panel discussion on Generative AI in Healthcare, moderated by e-HAIL Co-lead Convener, Rada Mihalceda, Ph.D., Janice M. Jenkins Collegiate Professor of Computer Science and Engineering, Professor of Electrical Engineering and Computer Science. Panelists included:
Dana Habers, M.P.H., Chief Innovation Officer, U-M Health & Chief Operating Officer, Pharmacy
JJ Park, Ph.D., Assistant Professor, Computer Science & Engineering
Mike Sjoding, M.D., Associate Professor, Internal Medicine, Division of Pulmonary & Critical Care
V.G. Vinod Vydiswaran, Ph.D., Associate Professor, Department of Learning Health Sciences
Jenna Wiens, Ph.D., e-HAIL Advisory Convener, Associate Professor, Electrical Engineering & Computer Science
The event wrapped up with a networking and resources fair, giving attendees the chance to further collaborate with colleagues and become familiar with the many resources available at the University of Michigan to support and advance their research goals.
Questions?
Contact J. Henrike Florusbosch, Ph.D., e-HAIL Program Manager, at jflorusb@umich.edu.