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Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review
Cody M Schopf1, Ojas A Ramwala2, Kathryn P Lowry1
1Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
Artificial intelligence (AI) algorithms using mammography images show comparable or better accuracy for breast cancer risk prediction than traditional tools. Adding clinical data offers minimal improvement, suggesting AI image-based models for personalized screening.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Oncology and Cancer Research
Background:
- Accurate breast cancer risk prediction is crucial for personalized screening strategies.
- Traditional risk assessment relies on clinical factors and mammographic density.
- Advancements in artificial intelligence (AI) offer new possibilities for risk prediction using medical images.
Conclusions:
- AI algorithms analyzing mammography images alone demonstrate strong performance for breast cancer risk prediction, comparable or superior to existing methods.
- The addition of clinical risk factors provides limited additional predictive value when using AI image-based models.
- AI image-based risk prediction holds promise for developing more accurate and personalized breast cancer screening approaches.
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