ReviewBJR open2024
Commercially available artificial intelligence tools for fracture detection: the evidence.
Review in BJR open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Diagnostic performance of artificial intelligence for identification of cervical spine fractures: a systematic review and meta-analysis.Emergency radiology · 2026Pooled it
- Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment.Health technology assessment (Winchester, England) · 2026Pooled it
- Artificial intelligence in risk prediction and diagnosis of vertebral fractures.Scientific reports · 2024Pooled it
- Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy.Scientific reports · 2024Pooled it
- Multivendor comparison study of artificial intelligence software for automated fracture detection in paediatric patients.Pediatric radiology · 2026Article
- Enhancing automated fracture detection in paediatric wrist X-rays with paired and unpaired cast suppression methods.International journal of computer assisted radiology and surgery · 2026Article
- Pediatric fracture classification in plain radiographs using EfficientNetV2 with proximal policy optimization fine-tuning.Scientific reports · 2026Article
- The AI implementation gap in trauma radiography: standalone versus discretionary AI-integrated fracture detection.European radiology experimental · 2026Article
- Advances in Artificial Intelligence for Wrist Joint Injury Diagnosis.International journal of medical sciences · 2026Review
- [Artificial intelligence in fracture diagnostics : Potentials and challenges in the clinical practice].Unfallchirurgie (Heidelberg, Germany) · 2025Review
- Surgical Management of Isolated Zygomaticomaxillary Complex Fractures: Role of Objective Morphometric Analysis in Decision-Making.Craniomaxillofacial trauma & reconstruction · 2025Review
- Changes in public perception of artificial intelligence in healthcare after exposure to ChatGPT.NPJ digital medicine · 2025Article
- Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department.European radiology · 2025Article
- Application of artificial intelligence in the diagnosis of scaphoid fractures: impact of automated detection of scaphoid fractures in a real-life study.La Radiologia medica · 2025Article
- [Current Landscape and Commercialization of AI Models in Musculoskeletal Imaging].Journal of the Korean Society of Radiology · 2025Review
- The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges.Journal of robotic surgery · 2025Review
- Comparative accuracy of two commercial AI algorithms for musculoskeletal trauma detection in emergency radiographs.Emergency radiology · 2025Article
- Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population.Insights into imaging · 2025Article
- Suppression of immobilisation device on wrist radiography to improve fracture visualisation.European radiology · 2025Article
- Artificial intelligence and multimodal imaging in orthopaedics: from technological advances to clinical translation.Frontiers in medicine · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Missed fractures are a costly healthcare issue, not only negatively impacting patient lives, leading to potential long-term disability and time off work, but also responsible for high medicolegal disbursements that could otherwise be used to improve other healthcare services. When fractures are overlooked in children, they are particularly concerning as opportunities for safeguarding may be missed. Assistance from artificial intelligence (AI) in interpreting medical images may offer a possible solution for improving patient care, and several commercial AI tools are now available for radiology workflow implementation. However, information regarding their development, evidence for performance and validation as well as the intended target population is not always clear, but vital when evaluating a potential AI solution for implementation. In this article, we review the range of available products utilizing AI for fracture detection (in both adults and children) and summarize the evidence, or lack thereof, behind their performance. This will allow others to make better informed decisions when deciding which product to procure for their specific clinical requirements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.