Evidence
-
BoneView
Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department
Herpe G, Nelken H, Vendeuvre T, Guenezan J, Giraud C, Mimoz O, Feydy A, Tasu J-P, Guillevin R -
BoneView
Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy in detecting fractures on plain X-rays (FRACT-AI protocol)
Novak A, Hollowday M, Espinosa Morgado AT, Oke J, Shelmerdine S, Woznitza N, Metcalfe D, Costa ML, Wilson S, Kiam JS, Vaz J, Limphaibool N, Ventre J, Jones D, Greenhalgh L, Gleeson F, Welch N, Mistry A, Devic N, Teh J, Ather S. -
BoneMetrics
Automated weight-bearing foot measurements using an artificial intelligence-based software
Lassalle L., Regnard N.-E., Ventre J., Marty V., Clovis L., Zhang Z., Nitche N., Guermazi A., Laredo J.-D. -
BoneView
Radiographic detection of post-traumatic bone fractures: contribution of artificial intelligence software to the analysis of senior and junior radiologists
Dell’Aria A., Tack D., Saddiki N., Makdoud S., Alexiou J., De Hemptinne F. X., Berkenbaum I., Neugroschl C., Tacelli N. -
BoneView
Diagnostic power of ChatGPT 4 in distal radius fracture detection through wrist radiographs
Mert S., Stoerzer P., Brauer J., Fuchs B., Haas-Lützenberger E. M., Demmer W., Giunta R. E., Nuernberger T. -
BoneView
AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients
Meetschen, M., Salhöfer L., Beck, N., Kroll, L., Ziegenfu, C. D., Schaarschmidt, B. M., Forsting, M., Mizan, S., Umutlu, S., Hosch, R., Nensa, F. & Haubold, J. -
BoneView
AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
Russe M. F., Rebmann P., Tran P.H., Kellner E., Reisert M., Bamberg F., Kotter E., Kim S. -
BoneView
Artificial intelligence effectivity in fracture detection
Boginskis V., Zadoroznijs S., Cernavska I., Beikmane D., Sauka J.