Artificial intelligence improves mammography-based breast cancer risk prediction.
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| Title: | Artificial intelligence improves mammography-based breast cancer risk prediction. |
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| Authors: | Ingman WV; Discipline of Surgical Specialities, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide 5011, Australia; Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia., Britt KL; Breast Cancer Risk and Prevention Laboratory, Peter MacCallum Cancer Centre, Melbourne 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville 3000, Australia; Department of Anatomy and Developmental Biology, Monash University Clayton, Clayton 3800, Australia., Stone J; Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth 6009, Australia., Nguyen TL; Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3010, Australia., Hopper JL; Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3010, Australia., Thompson EW; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane 4059, Australia; Translational Research Institute, Woolloongabba 4102, Australia. Electronic address: e2.thompson@qut.edu.au. |
| Source: | Trends in cancer [Trends Cancer] 2025 Mar; Vol. 11 (3), pp. 188-191. Date of Electronic Publication: 2024 Dec 12. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 101665956 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2405-8025 (Electronic) Linking ISSN: 24058025 NLM ISO Abbreviation: Trends Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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