Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aloïs Pourchot"'
Publikováno v:
Neurocomputing. 498:28-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a83c907aa62330cf21518db0018e6eb
https://doi.org/10.1016/j.neucom.2022.04.108
https://doi.org/10.1016/j.neucom.2022.04.108
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
Autor:
Ali Guermazi, Chadi Tannoury, Andrew J. Kompel, Akira M. Murakami, Alexis Ducarouge, André Gillibert, Xinning Li, Antoine Tournier, Youmna Lahoud, Mohamed Jarraya, Elise Lacave, Hamza Rahimi, Aloïs Pourchot, Robert L. Parisien, Alexander C. Merritt, Douglas Comeau, Nor-Eddine Regnard, Daichi Hayashi
Publikováno v:
Radiology
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b664ef527bf10e95d3920ed17fde6a80
https://pubmed.ncbi.nlm.nih.gov/34931864
https://pubmed.ncbi.nlm.nih.gov/34931864
Autor:
Nicolas Nitche, Nicolas Cherel, Julia Lainé, Nor-Eddine Regnard, Christian Allouche, Loïc Duron, Antoine Feydy, Alexis Ducarouge, Elise Lacave, Louis Lassalle, Adrien Felter, Zekun Zhang, Aloïs Pourchot, André Gillibert
Publikováno v:
Radiology. 300(1)
Background The interpretation of radiographs suffers from an ever-increasing workload in emergency and radiology departments, while missed fractures represent up to 80% of diagnostic errors in the emergency department. Purpose To assess the performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3426460a7fe6bffb326138bd8b942b63
https://pubmed.ncbi.nlm.nih.gov/33944629
https://pubmed.ncbi.nlm.nih.gov/33944629