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Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.
Radiology. 2022 Mar;302(3):627-636. doi: 10.1148/radiol.210937. Epub 2021 Dec 21.
Radiology. 2022.
PMID: 34931859
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study.
Duron L, Ducarouge A, Gillibert A, Lainé J, Allouche C, Cherel N, Zhang Z, Nitche N, Lacave E, Pourchot A, Felter A, Lassalle L, Regnard NE, Feydy A.
Duron L, et al. Among authors: lacave e.
Radiology. 2021 Jul;300(1):120-129. doi: 10.1148/radiol.2021203886. Epub 2021 May 4.
Radiology. 2021.
PMID: 33944629
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Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays.
Regnard NE, Lanseur B, Ventre J, Ducarouge A, Clovis L, Lassalle L, Lacave E, Grandjean A, Lambert A, Dallaudière B, Feydy A.
Regnard NE, et al. Among authors: lacave e.
Eur J Radiol. 2022 Sep;154:110447. doi: 10.1016/j.ejrad.2022.110447. Epub 2022 Jul 22.
Eur J Radiol. 2022.
PMID: 35921795
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