Upcoming Events

Below is information about e-HAIL’s Research-In-Progress Seminar Series. Twice monthly seminars are for e-HAIL members only and will meet from 2:00–3:00PM on the second and fourth Friday of each month during the academic year.

Events for 2021

Analytics and Pharmacy Fraud: Partnered Research with Michigan Medicaid

Jeremy Sussman, Associate Professor of Internal Medicine, Michigan Medicine, University of Michigan

AI-Human Hybrid Counseling for Pandemic Stress

Lawrence An and Rada Mihalcea, University of Michigan

Natural Language Processing for Enhanced Behavioral Counseling

Rada Mihalcea and Veronica Perez-Rosas, University of Michigan

Overview of Research and Ongoing Work: Surrogate Modeling and Distribution Shift

Paramveer Dhillon, Assistant Professor of Information, School of Information, University of Michigan

Cardiac sURgery Best practices to reduce AKI (CURB-AKI)

Michael Mathis, Assistant Professor of Anesthesiology, Michigan Medicine, University of Michigan

Rada Mihalcea, Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan

e-HAIL Sprint Specific Aims Challenge Group Mixer (Interactive Session)

Understanding the Impact of COVID-19 Health Misinformation across Demographic Groups

Stacy Loeb, Rada Mihalcea, and Veronica Perez-Rosas

Machine learning approaches for guiding atrial fibrillation ablation procedures

Mohammed Saeed, Assistant Professor of Internal Medicine, Division of Cardiology, Michigan Medicine, University of Michigan

Virtual e-HAIL Launch Event

Data-Driven Assessment Methods for Intraoperative Entrustment of Surgical Residents: The Role of Joint Visual Attention

Xu Wang and Vitaliy Popov, University of Michigan

AI and Digital Health: Ongoing Research and Collaboration Opportunities

Karandeep Singh, Assistant Professor of Learning Health Sciences, Medical School, University of Michigan

REACH-OUT PA: Randomized Trial of Technology-Supported Community Health Workers to Address Social Needs and Improve Physical Activity for Hypertension Prevention

Lorraine Buis, Associate Professor of Family Medicine, Medical School, University of Michigan

Towards finding a nail for my machine learning hammer: tackling health disparities with data

Maggie Makar, Assistant Professor and Presidential Fellow, Computer Science and Engineering, College of Engineering, University of Michigan

The use of AI/ML in LMIC

Akbar Waljee, Professor of Internal Medicine – Gastroenterology, Michigan Medicine, University of Michigan

Tensor-based algorithms for medical and pharmaceutical decision making systems

Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, Medical School, University of Michigan

Applications of Industrial and Operations Engineering to Manage Patients with Chronic Conditions

Mariel Lavieri, Associate Professor, Industrial and Operations Engineering, College of Engineering, University of Michigan