BoneView

Radiographers' accuracy in interpreting acute musculoskeletal X-rays when supported by artificial intelligence – A multi-site cross-sectional study

AI detection of knee joint effusion from radiographs: Comparative accuracy of two commercial algorithms

Developing an artificial intelligence tool for detecting fractures of child abuse: preliminary findings

Artificial intelligence in emergency skeletal X-ray: post-deployment monitoring and clinical impact of incorrect AI results

Clinical evaluation of two artificial intelligence algorithms in standard radiography for post-traumatic exploration of peripheral limbs in children

Reliability and validity of an artificial intelligence-assisted system for the detection of abnormalities in chest and bone radiographs in an emergency department

Real-life performance of AI-aided radiologists, emergency physicians and two AI solutions for diagnosing bone fractures in appendicular skeletal trauma

Evaluation of commercial AI algorithms for the detection of fractures, effusions, and dislocations on real-world clinical data: A prospective registry study

Application of artificial intelligence in the diagnosis of scaphoid fractures: impact of automated detection of scaphoid fractures in a real-life study

Diagnostic value of artificial intelligence-based software for the detection of pediatric upper extremity fractures

Comparative accuracy of two commercial AI algorithms for musculoskeletal trauma detection in emergency radiographs

Early Budget Impact Analysis of Artificial Intelligence to Support the Review of Radiographic Examinations for Suspected Fractures in National Health Service Emergency Departments

AI for fracture diagnosis in clinical practice: Four approaches to systematic AI-implementation and their impact on AI-effectiveness

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

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

Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department

Radiographic Detection of Post-Traumatic Bone Fractures: Contribution of Artificial Intelligence Software to the Analysis of Senior and Junior Radiologists

AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients

AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice

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

Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms

A Prospective Approach to Integration of AI Fracture Detection Software in Radiographs into Clinical Workflow

Artificial intelligence vs. radiologist: accuracy of wrist fracture detection on radiographs

Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists

Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow

Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning

Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence

Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study

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

Abstract ECR 2024: Implementation of an AI Application for Fracture Detection: Major benefits for Patients and Healthcare Workers