BoneView
Artificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic review
Robert M. Kwee, Thomas C. Kwee
Data
8 studies were included
N° of patients per study ranged between 101 and 637 (adults and children)
98 readers in total combined
Design
Meta-analysis
Original research studies that investigated the diagnostic performance of human reading with and without BoneView
Results
- BoneView improves the sensitivity of readers
- Results regarding specificity are mixed, it improved for some readers and decreased for others
- The use of BoneView improves reading speed
- Statistically significant heterogeneity in performance between studies
Read more study
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
BoneView
AI-powered solution for bone trauma