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Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study
10
Zitationen
21
Autoren
2024
Jahr
Abstract
This study is registered with ISRCTN (ISRCTN19562541) and ClinicalTrials.gov (NCT06130397). The paper reports the results of a substudy of STEDI2 (Simulation Training for Emergency Department Imaging Phase 2).
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Autoren
Institutionen
- Oxford University Hospitals NHS Trust(GB)
- University of Oxford(GB)
- Great Ormond Street Hospital(GB)
- Fujitsu (United Kingdom)(GB)
- NIHR Great Ormond Street Hospital Biomedical Research Centre
- University College London(GB)
- Canterbury Christ Church University(GB)
- University College London Hospitals NHS Foundation Trust(GB)
- Nuffield Orthopaedic Centre(GB)
- Frimley Health NHS Foundation Trust(GB)
- Systématique, adaptation, évolution(FR)
- Granville County Public Schools(US)
- University of Liverpool(GB)
- Aintree University Hospitals NHS Foundation Trust(GB)
- Health Education North West(GB)