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Using Artificial Intelligence for Text Screening in a Systematic Review of Cardiotoxicity

dc.contributor.authorCanfield, Steven E.
dc.contributor.authorAziz, Moez Karim
dc.contributor.authorOmar, Muhammad Imran
dc.contributor.authorN'Dow, James
dc.contributor.authorSchijvenaars, Bob J.A.
dc.contributor.authorGhith, Jennifer
dc.contributor.authorAhmed, Kausar Riaz
dc.contributor.authorMolony, Donald
dc.contributor.authorStenzl, Arnulf
dc.contributor.institutionUniversity of Aberdeen.Academic Urology Uniten
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.date.accessioned2025-10-08T23:11:20Z
dc.date.issued2025-11
dc.descriptionAcknowledgments: Under the guidance of the authors, Sweta Samantaray (PhD) provided writing support for this manuscript, Sonia Philipose (PhD) provided editorial assistance, and Subrata Kar (PhD) provided QC support (all are employees of Pfizer Inc.). Author contributions: Steven E. Canfield had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Canfield, Aziz, Omar, N’Dow, Schijvenaars, Ghith, Molony, Stenzl. Acquisition of data: Aziz, Schijvenaars, Molony. Analysis and interpretation of data: Schijvenaars, Ghith, Riaz Ahmed, Stenzl. Drafting of the manuscript: Omar, Schijvenaars, Ghith, Riaz Ahmed. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: None. Obtaining funding: Ghith. Administrative, technical, or material support: Canfield, Aziz, Omar, N’Dow, Schijvenaars, Ghith, Riaz Ahmed, Molony, Stenzl. Supervision: N’Dow, Ghith, Riaz Ahmed, Stenzl. Other: None.en
dc.description.statusPeer revieweden
dc.format.extent8
dc.format.extent1557098
dc.identifier308730493
dc.identifierc26e9672-fe41-45d9-b082-dcd7995909b1
dc.identifier105017164694
dc.identifier41079975
dc.identifier.citationCanfield, S E, Aziz, M K, Omar, M I, N'Dow, J, Schijvenaars, B J A, Ghith, J, Ahmed, K R, Molony, D & Stenzl, A 2025, 'Using Artificial Intelligence for Text Screening in a Systematic Review of Cardiotoxicity', European Urology Open Science, vol. 81, pp. 50-57. https://doi.org/10.1016/j.euros.2025.09.005en
dc.identifier.doi10.1016/j.euros.2025.09.005
dc.identifier.issn2666-1683
dc.identifier.otherORCID: /0000-0001-5340-0081/work/194126116
dc.identifier.otherORCID: /0000-0002-1597-3126/work/194126158
dc.identifier.urihttps://hdl.handle.net/2164/26181
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=105017164694&partnerID=8YFLogxKen
dc.language.isoeng
dc.relation.ispartofEuropean Urology Open Scienceen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectartificial intelligenceen
dc.subjectINSIDE PCen
dc.subjectliterature screeningen
dc.subjectmachine learningen
dc.subjectsytsmetic literature reviewen
dc.subjectprostate canceren
dc.subjectMachine learningen
dc.subjectLiterature screeningen
dc.subjectArtificial intelligenceen
dc.subjectProstate canceren
dc.subjectSystematic literature reviewen
dc.subjectR Medicineen
dc.subjectUrologyen
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subject.lccRen
dc.titleUsing Artificial Intelligence for Text Screening in a Systematic Review of Cardiotoxicityen
dc.typeJournal articleen

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