Artificial intelligence as treatment support in breast cancer: current perspectives.

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Title: Artificial intelligence as treatment support in breast cancer: current perspectives.
Authors: Lukac S; Department of Obstetrics and Gynecology, University Hospital Ulm, Ulm, Germany. Electronic address: stefan.lukac@uniklinik-ulm.de., Putz F; Department of Radiation Oncology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany., De Micheli G; Vita-Salute San Raffaele University, Milan, Italy., Corti C; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; European Institute of Oncology IRCCS, Milan, Italy; University of Milano, Milan, Italy., Janni W; Department of Obstetrics and Gynecology, University Hospital Ulm, Ulm, Germany., Tolaney SM; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA., Curigliano G; European Institute of Oncology IRCCS, Milan, Italy; University of Milano, Milan, Italy., Loibl S; German Breast Group, Neu-Isenburg, Germany., Tarantino P; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; University of Milano, Milan, Italy., Leone JP; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Source: Breast (Edinburgh, Scotland) [Breast] 2025 Oct; Vol. 83, pp. 104564. Date of Electronic Publication: 2025 Aug 22.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9213011 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-3080 (Electronic) Linking ISSN: 09609776 NLM ISO Abbreviation: Breast Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-3080
DOI:10.1016/j.breast.2025.104564