Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10380-1.pdf
Reference22 articles.
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3. Hallas P, Ellingsen T (2006) Errors in fracture diagnoses in the emergency department – characteristics of patients and diurnal variation. BMC Emerg Med. https://doi.org/10.1186/1471-227X-6-4
4. Guermazi A, Tannoury C, Kompel AJ et al (2021) Improving radiographic fracture recognition performance and efficiency using artificial intelligence. Radiology. https://doi.org/10.1148/radiol.210937
5. Duron L, Ducarouge A, Gillibert A et al (2021) Assessment of an AI aid in detection of adult appendicular skeletal fractures by emergency physicians and radiologists: a multicenter cross-sectional diagnostic study. Radiology. https://doi.org/10.1148/radiol.2021203886
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