Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.

MLA

Bousson, Valérie, et al. “Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.” Academic Radiology, vol. 30, no. 10, Oct. 2023, pp. 2118–39. EBSCOhost, https://doi.org/10.1016/j.acra.2023.06.016.

APA

Bousson, V., Attané, G., Benoist, N., Perronne, L., Diallo, A., Hadid-Beurrier, L., Martin, E., Hamzi, L., Depil Duval, A., Revue, E., Vicaut, E., & Salvat, C. (2023). Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms. Academic Radiology, 30(10), 2118–2139. https://doi.org/10.1016/j.acra.2023.06.016

Chicago

Bousson, Valérie, Grégoire Attané, Nicolas Benoist, Laetitia Perronne, Abdourahmane Diallo, Lama Hadid-Beurrier, Emmanuel Martin, et al. 2023. “Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.” Academic Radiology 30 (10): 2118–39. doi:10.1016/j.acra.2023.06.016.