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The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs

Tsubasa Mawatari, Yoshiko Hayashida, Shigehiko Katsuragawa, Yuta Yoshimatsu, Toshihiko Hamamura, Kenta Anai, Midori Ueno, Satoru Yamaga, Issei Ueda, Takashi Terasawa, Akitaka Fujisaki, Chihiro Chihara, Tomoyuki Miyagi, Takatoshi Aoki, Yukunori Korogi

2020European Journal of Radiology44 citationsDOI

Topics & Concepts

MedicineGold standard (test)RadiographyRadiologyConvolutional neural networkReceiver operating characteristicNuclear medicineArea under curveArtificial intelligenceInternal medicineComputer sciencePharmacokineticsArtificial Intelligence in Healthcare and EducationMedical Imaging and AnalysisRadiomics and Machine Learning in Medical Imaging
The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs | Litcius