A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA).
Radiological Society of North AmericaAug 20 2024 A commercial artificial intelligence tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a study published today in Radiology , a journal of the Radiological Society of North America .
Our group and others have previously shown that AI tools are capable of excluding pathology in chest X-rays with high confidence and thereby provide an autonomous normal report without a human in-the-loop. Such AI algorithms miss very few abnormal chest radiographs. However, before our current study, we didn't know what the appropriate threshold was for these models."
The AI tool was adapted to generate a chest X-ray "remarkableness" probability, which was used to calculate specificity at different AI sensitivities. Dr. Plesner notes that the mistakes made by AI were, on average, more clinically severe for the patient than mistakes made by radiologists.
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