AI assists rookie ED physicians with chest X-ray interpretations when radiologists are unavailable


For this study, seven ED physicians volunteered to evaluate 388 patients, assessing their decision-making accuracy when using deep learning and when not using it.

Sensitivity, specificity and accuracy improved for all physicians using the deep learning-based assistive technology on chest radiographs, regardless of experience level. Clinical decision-making was impacted by the use of deep learning as well, with 106 decision changes made after consulting the assistive technology. The authors noted that the majority of these changes came from less experienced physicians. 

“Our…



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