BoneAge

Clinical Validation of an Artificial Intelligence Software for Bone Age Assessment based on Greulich & Pyle method in a Portuguese Paediatric Cohort.

Simões, A. M., Meneses, J. P., Oliveira, P. G. & Abrantes, J.

BoneView

Improving fracture detection with artificial intelligence

Ana Capelastegui Alber, Roque Oca Pernas, Gotzon Iglesias Hidalgo, Jose Alejandro Larena, Miguel Angel Ulibarrena Saiz

BoneView

Artificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic review

Robert M. Kwee, Thomas C. Kwee

BoneView

Evaluation of the use of artificial intelligence in the detection of appendicular skeletal fractures in adult patients consulting in an emergency department

Evelyne Dubreucq Guerif, Sophie Agut, Alexandra Rousseau, Rudy Bompard and Hélène Goulet

BoneView

Added value of artificial intelligence for the detection of pelvic and hip fractures

Anthony Jaillat, Catherine Cyteval, Marie-Pierre Baron Sarrabere, Hamza Ghomrani, Yoav Maman, Yann Thouvenin, Maxime Pastor

BoneMetrics

Validation of AI-driven measurements for hip morphology assessment

Lassalle L, Regnard N-E, Durteste M, Ventre J, Marty V, Clovis L, Zhang Z, Nitche N, Ducarouge A, Tran A, Laredo J-D, Guermazi A

BoneMetrics

Deep learning algorithm enables automated Cobb angle measurements with high accuracy

Hayashi D, Regnard N-E, Ventre J, Marty V, Clovis L, Lim L, Nitche N, Zhang Z, Tournier A, Ducarouge A, Kompel A J, Tannoury C, Guermazi A

BoneView

Diagnostic Performance of an AI-Assisted Radiographic Software for Detecting Metacarpal and Phalangeal Fractures and Dislocations in Emergency Settings (article in French)

Fondu P, David E, Arab O A, Ghazali A, Rotari V, Klein C

BoneView

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Shelmerdine S C, Pauling C, Allan E, Langan D, Ashworth E, Yung K-W, Barber J, Haque S, Rosewarne D, Woznitza N, Novak A, Theivendran K, Arthurs O J

BoneMetrics

Evaluation of a deep learning software for automated measurements on full-leg standing radiographs

Lassalle L., Regnard N.-E., Durteste M., Ventre J., Marty V., Clovis L., Zhang Z., Nitche N., Ducarouge A., Laredo J.-D., Guermazi A.

BoneAge

A critical comparative study of the performance of three AI-assisted programs for bone age determination

Pape J., Rosolowski M., Pfäffle R., Beeskow A. B., Gräfe D.

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