DOTmed May 14, 2020
John R. Fischer

For all the revolutionary promise that artificial intelligence holds for radiology, a new study found that existing AI can alter data in ways that lead to substantial errors and inaccuracies.

Researchers at the University of Cambridge and Simon Fraser University are saying medical image reconstruction algorithms can create myriad artifacts and other instabilities that lead to false positives or negatives in diagnoses and can potentially harm patients.

“There’s been a lot of enthusiasm about AI in medical imaging, and it may well have the potential to revolutionize modern medicine: however, there are potential pitfalls that must not be ignored,” said Dr. Anders Hansen from Cambridge’s department of applied mathematics and theoretical physics, in a statement. “We’ve found that AI techniques...

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2020-05-14T22:21:55-04:00