Concerns About AI in Radiological Imaging

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The American College of Radiology and the Radiological Society of North America say it is unlikely that FDA could provide reasonable assurance of the safety and effectiveness of autonomous artificial intelligence (AI) in radiology patient care without more rigorous testing, surveillance, and other oversight mechanisms throughout the total product life cycle. The two professional associations commented on an FDA 2/25-2/26 public workshop on the evolving role of AI in radiological imaging.

“Before developing pathways for the authorization of autonomous functioning AI in radiological imaging, FDA should first wait until current AI algorithms have a broader penetrance in the marketplace so that their efficacy and safety in a supervised manner can be documented, which could then inform decision making regarding the premarket approval and post-market surveillance process requisite for autonomously functioning AI,” the letter says. “If the goal of autonomous AI is to remove the physician from the image interpretation, then the public must be assured that the algorithm will be as safe and effective as the physicians it replaces, which includes the ability to incorporate available context and identify secondary findings that would typically be identified during physician interpretation.”

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