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Current state of mammography-based artificial intelligence for future breast cancer risk prediction: a systematic review
2
Zitationen
8
Autoren
2026
Jahr
Abstract
Future studies should evaluate models using digital breast tomosynthesis, examine performance for aggressive or advanced breast cancer, include diverse populations, and evaluate both discrimination and model calibration. Prospective evaluations are needed to determine the clinical utility of mammography-based AI models for personalized risk-based breast cancer screening before implementation.
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Autoren
Institutionen
- Pacific Northwest Diabetes Research Institute(US)
- University of Washington(US)
- Luther University(KR)
- Medical University of South Carolina(US)
- University of Wisconsin–Madison(US)
- Wisconsin Division of Public Health(US)
- University of California, Berkeley(US)
- University of California, San Francisco(US)
- University of California System(US)
- Mayo Clinic in Arizona(US)
- Mayo Clinic in Florida(US)