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RSNA: Researchers Use Artificial Intelligence I to Detect Wrist Fractures


RSNA: Researchers Use Artificial Intelligence I to Detect Wrist Fractures
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An automated system that uses artificial intelligence (AI) is effective at detecting a common type of wrist fracture on X-rays, according to a study published in the journal Radiology: Artificial Intelligence. Researchers said the AI-derived algorithm could help speed diagnosis and allow earlier treatment.
Scaphoid fractures can be overlooked during initial X-ray examinations. The system may be able to assist residents, radiologists or other physicians by acting either as a first or second reader, or as a triage tool that helps prioritize worklists, potentially reducing the risk of missing a fracture. ....

United States , Oak Brook , Tijs Samson , Stijn Bollen , Ernst Scholten , Stefan Bruijnen , Bram Van Ginneken , Suzanne Diepstraten , Alexander Scholtens , Charlese Kahn Jr , Bastiaan Vernhout , Nils Hendrix , Eric Postma , Steven Schalekamp , Jheronimus Academy Of Data Science , University Of Pennsylvania , Radiological Society Of North America Inc , Perelman School Of Medicine , Jeroen Bosch Hospital , Jheronimus Academy , Data Science , Convolutional Neural Network , Automated Detection , Scaphoid Fractures , Conventional Radiographs , Bas Maresch ,