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.

BoneView

Artifcial intelligence‐based detection of paediatric appendicular skeletal fractures: performance and limitations for common fracture types and locations

Irmhild Altmann‐Schneider · Christian J. Kellenberger · Sarah‐Maria Pistorius · Camilla Saladin ·\nDebora Schäfer · Nidanur Arslan · Hanna L. Fischer · Michelle Seiler

ChestView

Using AI to improve radiologist performance in detecting abnormalities on chest radiographs

Bennani, Souhail; Regnard, Nor-Eddine; Ventre, Jeanne; Lassalle, Louis; Nguyen, Toan; Ducarouge, Alexis; Dargent, Lucas; Guillo, Enora; Gouhier, Elodie; Zaimi, Sophie-Hélène; Canniff, Emma; Malandrin, Cécile; Khafagy, Philippe; Koulakian, Hasmik; Revel, Marie-Pierre; Chassagnon, Guillaume

BoneView

Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth

Jacques, T., Cardot, N., Ventre, J. et al.

BoneView

Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception. A Prospective Pre- and Post-Analysis

Hoppe, Boj Friedrich MD; Rueckel, Johannes MD; Dikhtyar, Yevgeniy MD; Heimer, Maurice MD; Fink, Nicola MD; Sabel, Bastian Oliver MD; Ricke, Jens MD; Rudolph, Jan MD; Cyran, Clemens C. MD

ChestView

Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation

Chassagnon G, Billet N, Rutten C, Toussaint T, Cassius de Linval Q, Collin M et al.