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There Needs to Be an “AI” in “Med Ed”

By KIM BELLARD

It took some time for the news to percolate to me, but last month the University of Texas San Antonio announced that it was creating the “nation’s first dual program in medicine and AI.” That sure sounds innovative and timely, and there’s no question that medical education, like everything else in our society, is going to have to figure out how to incorporate AI. But, I’m sorry to say, I fear UTSA is going about it in the wrong way.

UTSA has created a five year program that will result in graduates obtaining an M.D. from UT Health San Antonio and a Master of Science in Artificial Intelligence (M.S.A.I.) from UTSA. Students will take a “gap year” between the third and fourth year of medical school to get the M.S.A.I. They will take two semesters in AI coursework, completing a total of 30 credit hours: nine credit hours in core courses including an internship, 15 credit hours in their degree concentration (Data Analytics, Computer Science, or Intelligent & Autonomous Systems) and six credit hours devoted to a capstone project.

“This unique partnership promises to offer groundbreaking innovation that will lead to new therapies and treatments to improve health and quality of life,” said UT System Chancellor James B. Milliken.

“Our goal is to prepare our students for the next generation of health care advances by providing comprehensive training in applied artificial intelligence,” said Ronald Rodriguez, M.D., Ph.D., director of the M.D./M.S. in AI program and professor of medical education at the University of Texas Health Science Center at San Antonio. “Through a combined curriculum of medicine and AI, our graduates will be armed with innovative training as they become future leaders in research, education, academia, industry and health care administration. They will be shaping the future of health care for all.”

Dhireesha Kudithipudi, a professor in electrical and computer engineering who was tasked with helping develop the university’s AI curriculum, told Preston Fore of Fortune:

In lots of scenarios, you might see AI capabilities are being very exaggerated—that it might replace physicians and so forth. But I think our line of inquiry was guided in a different way, in a sense how we can promote this AI physician interaction-AI patient interaction, bringing humans to the center of the loop, and how AI can enhance care or emphasize more patient centric attention.

OK, fabulous.  But, you know, computers have been integral to healthcare for decades, especially the past 15 years (due to EMRs), and we don’t expect doctors to get Masters in Computer Science. We’re just happy when they can figure out how to navigate the interfaces. 

To be honest, I was expecting more from UT.

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