UMMS Artificial Intelligence

Welcome to the AI in Medicine guide, an essential resource designed to support University of Michigan Medical School faculty, instructors, staff, and students in exploring the intersection of artificial intelligence (AI) and healthcare. Artificial intelligence is rapidly reshaping the landscape of medicine, offering unprecedented opportunities for innovation in diagnostics, treatment plans, patient care, and medical research. This guide is curated to facilitate an in-depth comprehension of AI technologies and their applications in the medical field, empowering faculty and students to engage critically with these advancements by providing a structured pathway to understanding how AI is transforming medical education, research, and clinical practice. Following best practices for transparency and keeping humans in the loop, some topics in this guide were suggested by U-M GPT and refined and tailored for this audience by Informationists.

The U-M Generative Artificial Intelligence Advisory (GAIA) Committee report was created by faculty, staff, and students and "lays a proposed foundation for how U-M might live and work with GenAI." The report is not comprehensive but provides the university's approach to GenAI needs. 

A Crash Course in AI: A broad overview of Michigan Medicine's approach to artificial intelligence (Michigan Medicine) - Within the Artificial Intelligence Learnings Series, learners will be introduced to key concepts related to artificial intelligence (AI) and machine learning (ML) in health care.

Artificial intelligence (AI) is not something new in healthcare and medicine, with the first examples having appeared in the 1950s, but there seem to always be new aspects of it appearing in the research literature and popular media. With the advent of generative artificial intelligence, also known as GenAI, some confusion has arisen around the different methodologies, types, and applications of AI broadly and GenAI applications specifically.

General History and Overview

• Hirani R, Noruzi K, Khuram H, Hussaini AS, Aifuwa EI, Ely KE, Lewis JM, Gabr AE, Smiley A, Tiwari RK, Etienne M. Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities. Life (Basel). 2024 Apr 26;14(5):557. doi: 10.3390/life14050557. PMID: 38792579; PMCID: PMC11122160.
• Iqbal J, Cortés Jaimes DC, Makineni P, Subramani S, Hemaida S, Thugu TR, Butt AN, Sikto JT, Kaur P, Lak MA, Augustine M, Shahzad R, Arain M. Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine. Cureus. 2023 Sep 4;15(9):e44658. doi: 10.7759/cureus.44658. PMID: 37799217; PMCID: PMC10549955.
• Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020 Oct;92(4):807-812. doi: 10.1016/j.gie.2020.06.040. Epub 2020 Jun 18. PMID: 32565184.