Artificial intelligence-aided diagnosis is already making an impact in radiology, with examples of both promise and perils being discussed at a recent National Academy of Medicine workshop. Dr. Jason Poff, a radiologist at Radiology Partners, highlighted how AI-supported analysis of diagnostic images has become a routine part of patient encounters. The use of AI can provide structured overviews of patient data, detect abnormalities, and present all possible diagnoses without limitations.
While AI offers significant benefits, there are also challenges to consider. False positives and false negatives can occur, leading to potential issues such as unnecessary surgical interventions or missed significant findings. The accuracy of AI diagnosis can vary by condition, and there is a constant struggle with uncertainty. The interaction between humans and AI is crucial, with the need to establish trust and determine the appropriate level of reliance on AI.
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