Artificial intelligence is poised to have a monumental impact on the future of medicine and imaging in particular. And yet, many medical schools pay little mind to this burgeoning piece of the healthcare delivery system.
Wanting to close the knowledge gap, experts with Dartmouth College have developed a novel curriculum to bolster physicians’ know-how in this space. AI-RADs, as it’s called, has shown early promise, with residents rating it as a 9.8 out of 10 and significant gains in comprehension when reading AI articles after lectures, experts reported Friday in Academic Radiology.
“AI-RADS was well-received amongst trainees at our institution,” Alexander Lindqwister, with the New Hampshire-based college’s Geisel School of Medicine, and colleagues wrote Oct. 16. “From our metrics of quality, trainees overwhelmingly feel that the content depth of the AI-RADS lecture series is ideal, and the examples used are helpful vehicles to understand key concepts in artificial intelligence.”
Lindqwister et. al built their course around a sequence of foundational algorithms, presented as logical extensions of each other and based around familiar examples, such as movie recommendations. They also incorporated secondary lessons on topics such as pixel mathematics, since most residents have little to no computational background. They further built out the program with a journal club, exploring the algorithm discussed in the most recent lecture, along with study guides that helped cut through “intimidating technical descriptions.”