Radiology Business March 22, 2024
Marty Stempniak

New research is questioning previous studies that have attempted to assess AI’s impact on a collective group of radiologists, rather than on an individual basis.

Harvard Medical School scientists recently sought to examine the effects of AI assistance on 140 radiologists handling 15 different chest X-ray diagnostic tasks. They also aimed to identify predictors of these effects, such as how age and expertise change each physician’s response to the technology.

“Surprisingly,” the authors wrote Tuesday in Nature Medicine [1], experience-based factors such as a radiologists’ subspecialty, failed to reliably predict artificial intelligence’s impact.

“We find that different radiologists, indeed, react differently to AI assistance—some are helped while others are hurt by it,” co-senior author Pranav Rajpurkar, PhD, an assistant professor...

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