Health Imaging May 25, 2023
Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.
Nevertheless, the duo remains hopeful, albeit reservedly so.
“As healthcare professionals increasingly use radiologic AI and as large language models continue to evolve, the future of AI in medical imaging appears bright,” they state. “However, it remains uncertain whether the traditional practice of radiology, in its current form, will share this promising outlook.”
The authors are biomedical informaticist Pranav Rajpurkar, PhD, of Harvard and radiologist Matthew Lungren, MD, MPH, of Microsoft and UC-San Francisco. The New England Journal of Medicine published their article May 25 [1].
As examples of factors...
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