A deployment safety case for AI-assisted prostate cancer diagnosis.

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Bibliographic Details
Title: A deployment safety case for AI-assisted prostate cancer diagnosis.
Authors: Jia Y; Department of Computer Science, University of York, York, YO10 5GH, UK. Electronic address: yan.jia@york.ac.uk., Verrill C; Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. Electronic address: Clare.Verrill@ouh.nhs.uk., White K; Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. Electronic address: Kieron.White@ouh.nhs.uk., Dolton M; Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. Electronic address: monica.dolton@nds.ox.ac.uk., Horton M; Paige, 11 Times Sq, Fl 37, New York, NY 10036, USA. Electronic address: margaret.horton@paige.ai., Jafferji M; Paige, 11 Times Sq, Fl 37, New York, NY 10036, USA. Electronic address: mufaddal.jafferji@paige.ai., Habli I; Department of Computer Science, University of York, York, YO10 5GH, UK. Electronic address: Ibrahim.Habli@york.ac.uk.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110237. Date of Electronic Publication: 2025 May 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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