Artificial intelligence-driven multimodal fusion for precision diagnosis and personalized management of breast cancer.
AI combining multiple imaging types and molecular data offers a framework for personalized breast cancer diagnosis and treatment planning.
This review surveys the landscape of AI multimodal fusion for breast cancer, covering integration of mammography, ultrasound, MRI, histopathology images, and molecular data for diagnosis and personalized management decisions. The review provides a comprehensive framework for understanding where AI integration adds diagnostic value and identifies key bottlenecks for clinical translation.
What the study was
- Study design
- Review
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Oncol Rev
Why it surfaced
AI in oncology diagnostics is a watchlist focus; multimodal fusion is an emerging technical approach; relevant to precision oncology and AI/ML watchlists.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.