Driving adoption with strong scientific evidence
Evaluation of radiologists’ performance compared to a deep learning algorithm for the detection of thoracic abnormalities on chest X-ray
Evaluation of radiologists’ performance compared to a deep learning algorithm for the detection of thoracic abnormalities on chest X-ray
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
Artificial Intelligence (AI) support for pelvic fracture detection on plain radiographs: a preliminary study of AI integration in the clinical workflow
Assessment of an AI aid in detection of pediatric appendicular skeletal fractures by senior and junior radiologists.
Improving Radiographic Fracture Detection and Reducing Reading Time Using Artificial Intelligence: A Multi-Center Study with Radiologists and Non-Radiologists in The United States
Evaluation of the medical impact of artificial intelligence for limb and pelvic bone fracture detection
Performances of a deep learning algorithm for the detection of fracture, dislocation, elbow joint effusion, focal bone lesions on trauma X-rays
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study