Evidence
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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 -
BoneView 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
Artificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic review
Robert M. Kwee, Thomas C. Kwee -
BoneView
Early budget impact analysis of AI to support the review of radiographic examinations for suspected fractures in NHS emergency departments (ED)
Lucy Gregory, Trishal Boodhna, Mathew Storey, Susan Shelmerdine, Alex Novak, David Lowe, Hugh Harvey -
BoneView
Improving fracture detection with artificial intelligence
Ana Capelastegui Alber, Roque Oca Pernas, Gotzon Iglesias Hidalgo, Jose Alejandro Larena, Miguel Angel Ulibarrena Saiz -
ChestView
Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department.
Sathiyamurthy Selvam Olivier Peyrony Arben Elezi Adelia Braganca Anne-Marie Zagdanski Lucie Biard Jessica Assouline Guillaume Chassagnon Guillaume Mulier Constance de Margerie-Mellon -
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 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