Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types

Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractures by training algorithms to emulate the judgments of expert c...

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