ArticleFrontiers in bioengineering and biotechnology2022
Artificial intelligence to detect the femoral intertrochanteric fracture: The arrival of the intelligent-medicine era.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Enhanced fracture detection on radiographs with AI assistance for clinicians: a systematic review and meta-analysis.Annals of medicine · 2026Pooled it
- Evaluation of Artificial Intelligence-based diagnosis for facial fractures, advantages compared with conventional imaging diagnosis: a systematic review and meta-analysis.BMC musculoskeletal disorders · 2025Pooled it
- Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Pooled it
- Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- AI-based Hip Fracture Classification from Pelvic X-ray Images Using a Hybrid PEFT-ViT and XGBoost Model.Journal of imaging informatics in medicine · 2026Article
- Trochanteric region fracture classification network (TRFC-net): a deep learning solution to increasing inexperienced residents' trochanteric region fracture classification accuracy on X-rays.Quantitative imaging in medicine and surgery · 2026Article
- Improved YOLOv8 with average pooling downsampling for detection and classification of intertrochanteric femoral fractures in X-ray images: a study focusing on AO/OTA classification.Frontiers in medicine · 2026Article
- Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis.Insights into imaging · 2025Article
- Robot-assisted PFNA surgery improves clinical outcomes in the treatment of unstable femoral intertrochanteric fractures in elderly patients compared with traditional PFNA surgery.Scientific reports · 2025Article
- The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography.PloS one · 2025Article
- Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study.Frontiers in medicine · 2025Article
- YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025Article
- Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.Current medical science · 2024Review
- Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.BMC musculoskeletal disorders · 2024Article
- Segond Fractures Can Be Identified With Excellent Accuracy Utilizing Deep Learning on Anteroposterior Knee Radiographs.Arthroscopy, sports medicine, and rehabilitation · 2024Article
- Proximal femur fracture detection on plain radiography via feature pyramid networks.Scientific reports · 2024Article
- Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis.PLOS digital health · 2024Article
- Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures.Frontiers in medicine · 2023Article
- Deep learning system assisted detection and localization of lumbar spondylolisthesis.Frontiers in bioengineering and biotechnology · 2023Article
- Development and validation of a deep learning-based model to distinguish acetabular fractures on pelvic anteroposterior radiographs.Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
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Abstract
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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.