Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists.
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| Title: | Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42312821 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Carstensen+FV%22">Carstensen FV</searchLink>; Department of Oncology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. frederik.voigt.carstensen@regionh.dk.<br /><searchLink fieldCode="AU" term="%22Irankunda+BB%22">Irankunda BB</searchLink>; Department of Oncology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Batista+E%22">Batista E</searchLink>; Breast Unit, Champalimaud Foundation, Lisbon, Portugal.<br /><searchLink fieldCode="AU" term="%22Van+den+Bongard+D%22">Van den Bongard D</searchLink>; Department of Radiation Oncology, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, Netherlands; Cancer Treatment and Quality of Life / Cancer Biology and Immunology, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Spanic+T%22">Spanic T</searchLink>; Europa Donna Slovenja, Ljubljana, Slovenia.<br /><searchLink fieldCode="AU" term="%22Gernaat+SAM%22">Gernaat SAM</searchLink>; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht Netherlands.<br /><searchLink fieldCode="AU" term="%22Verkooijen+H%22">Verkooijen H</searchLink>; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht Netherlands.<br /><searchLink fieldCode="AU" term="%22Maraldo+MV%22">Maraldo MV</searchLink>; Department of Oncology, Zealand University Hospital Næstved, Næstved, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228709065%22">Acta oncologica (Stockholm, Sweden)</searchLink> [Acta Oncol] 2026 Jun 18; Vol. 65, pp. 553-556. <i>Date of Electronic Publication: </i>2026 Jun 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Medical+Journals+Sweden+AB%22">Medical Journals Sweden AB </searchLink><i>Country of Publication: </i>Sweden <i>NLM ID: </i>8709065 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1651-226X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220284186X%22">0284186X </searchLink><i>NLM ISO Abbreviation: </i>Acta Oncol <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42312821 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2340/1651-226X.2026.45901 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 553 Titles: – TitleFull: Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Carstensen FV – PersonEntity: Name: NameFull: Irankunda BB – PersonEntity: Name: NameFull: Batista E – PersonEntity: Name: NameFull: Van den Bongard D – PersonEntity: Name: NameFull: Spanic T – PersonEntity: Name: NameFull: Gernaat SAM – PersonEntity: Name: NameFull: Verkooijen H – PersonEntity: Name: NameFull: Maraldo MV IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 06 Text: 2026 Jun 18 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1651-226X Numbering: – Type: volume Value: 65 Titles: – TitleFull: Acta oncologica (Stockholm, Sweden) Type: main |
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