Johnson & Johnson MedTech Polyphonic™ AI Fund for Surgery QuickFire Challenge
Researchers and innovators in the Surgical Data Science field worldwide are invited to submit ideas for AI technologies that have the potential to improve surgical decision-making, strengthen data management & governance processes, and drive surgical efficiency across the connected operating room (OR). LOI Deadline: August 1, 2025
The Frankel CVC Innovation Team is participating in the Digital Medicine Society’s “The Playbook: Implementing AI in Healthcare” project, which launched on November 20 and will take place over the next ten months.
The Frankel CVC Innovation team will contribute to advancing the successful implementation of health AI technologies in clinical care delivery settings to optimize value returned and drive better health outcomes for the greatest number of patients.
How U-M researchers are tackling Artificial Intelligence to help transform healthcare
University of Michigan Remote and Mobile Tech Expertise Finder
A tool to help researchers and their teams identify other U-M faculty and staff with experience in specific remote and mobile technologies
U-M AI and Digital Health Innovation
Supports team science approaches to solving complex AI and digital health problems.
AI & Digital Health Innovation, formerly Precision Health, was launched as a Presidential Initiative in 2017. AI & Digital Health Innovation now represents a unification and enhancement of interdisciplinary efforts at the intersection of artificial intelligence (AI) and health at the University of Michigan.
AI & Digital Health Innovation provides research implementation support to strategically integrate and study AI models in clinical workflows at Michigan Medicine, in addition to a robust foundation in data services and secure computing resources. They also drive critical efforts focused on health at U-M and contribute to the upcoming transformative initiatives that will place U-M as “Leaders & Best” in AI for health.
Data Augmented Technology Assisted Medical Decision Making Course (DATA-MD)
DATA-MD is a one-of-a-kind curriculum designed to provide an introduction to the use of AI in the diagnostic process.
E-health and Artificial Intelligence (eHAIL)
e-HAIL is a joint Michigan Medicine and College of Engineering initiative that aims to make U-M a premier hub for research that innovates in health through AI.
Michigan Institute for Data and AI in Society (MIDAS)
University of Michigan organization that advances data science and artificial intelligence (AI) and enables their transformative use across a wide range of research domains for lasting scientific and societal impact.
DIGIT-MI (Eisenberg Depression Center)
ITS Advanced Research Computing (ARC)
ARC provides support and referral for many kinds of research computing and many aspects of research computing, from programming to data storage services.
ITS is now offering a generative AI platform available to all active U-M faculty, staff, and students on the Ann Arbor, Flint, and Dearborn campuses and Michigan Medicine. These service offerings are equitable and accessible, and support everything from basic consumer usage to advanced research and experimentation.
University of Michigan Institute for Healthcare Policy and Innovation (IHPI) Artificial Intelligence Experts
Generative Artificial Intelligence Advisory (GAIA) Committee
American Medical Association ChangeMedEd® Training Series
This series, developed by the American Medical Association ChangeMedEd® initiative and the University of Michigan DATAMD team, introduces learners to foundational principles in artificial and augmented intelligence (AI) and machine learning (ML) through a series of seven online activities. The DATA-MD team includes U-M's Andrew Wong, M.D., and Cornelius James, M.D.
Applying Natural Language Processing to Improve Patient Care - MICHR Video