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Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists.

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Bibliographic Details
Title:	Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists.
Authors:	Carstensen FV; Department of Oncology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. frederik.voigt.carstensen@regionh.dk., Irankunda BB; Department of Oncology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark., Batista E; Breast Unit, Champalimaud Foundation, Lisbon, Portugal., Van den Bongard D; Department of Radiation Oncology, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, Netherlands; Cancer Treatment and Quality of Life / Cancer Biology and Immunology, Amsterdam, Netherlands., Spanic T; Europa Donna Slovenja, Ljubljana, Slovenia., Gernaat SAM; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht Netherlands., Verkooijen H; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht Netherlands., Maraldo MV; Department of Oncology, Zealand University Hospital Næstved, Næstved, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Source:	Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2026 Jun 18; Vol. 65, pp. 553-556. Date of Electronic Publication: 2026 Jun 18.
Publication Type:	Journal Article
Journal Info:	Publisher: Medical Journals Sweden AB Country of Publication: Sweden NLM ID: 8709065 Publication Model: Electronic Cited Medium: Internet ISSN: 1651-226X (Electronic) Linking ISSN: 0284186X NLM ISO Abbreviation: Acta Oncol Subsets: MEDLINE; In Process
Database:	MEDLINE Ultimate

Description
ISSN:	1651-226X
DOI:	10.2340/1651-226X.2026.45901