Canfield, Steven E.Aziz, Moez KarimOmar, Muhammad ImranN'Dow, JamesSchijvenaars, Bob J.A.Ghith, JenniferAhmed, Kausar RiazMolony, DonaldStenzl, Arnulf2025-10-082025-11Canfield, 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.2025.09.0052666-1683ORCID: /0000-0001-5340-0081/work/194126116ORCID: /0000-0002-1597-3126/work/194126158https://hdl.handle.net/2164/26181Acknowledgments: 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.81557098engSDG 3 - Good Health and Well-beingartificial intelligenceINSIDE PCliterature screeningmachine learningsytsmetic literature reviewprostate cancerMachine learningLiterature screeningArtificial intelligenceProstate cancerSystematic literature reviewR MedicineUrologySupplementary DataDASRJournal article10.1016/j.euros.2025.09.005http://www.scopus.com/inward/record.url?scp=105017164694&partnerID=8YFLogxK