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263P Diagnostic accuracy of artificial intelligence for early melanoma detection: A systematic review and meta analysis of clinical trials
0
Zitationen
15
Autoren
2025
Jahr
Abstract
Early melanoma detection is essential for patient survival, yet diagnostic accuracy varies across settings. Artificial intelligence (AI) systems, including convolutional neural networks (CNNs), are increasingly evaluated in prospective trials as adjuncts or alternatives to clinician assessment. This systematic review assessed trial evidence for AI in suspected melanoma, distinguishing between AI-alone (AI versus human) and AI-assisted (AI plus human versus human) approaches.
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Autoren
Institutionen
- Barts Health NHS Trust(GB)
- King's College London(GB)
- King's College School(GB)
- Leeds Teaching Hospitals NHS Trust(GB)
- University of Manchester(GB)
- Queen's University Belfast(GB)
- Queen Mary University of London(GB)
- Lancashire Teaching Hospitals NHS Foundation Trust(GB)
- Barlow Medical Centre(GB)
- London Cancer(GB)
- The Society for Academic Primary Care(GB)
- Arrow International (United States)(US)