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Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.

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Bibliographic Details
Title: Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.
Authors: Wysocki O; Cancer Research UK Manchester Institute, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom; Idiap Research Institute, National University of Sciences, Rue Marconi 19, CH - 1920 Martigny, Switzerland., Mak S; St.Jame's University Hospital, Beckett St, Harehills, Leeds LS9 7TF, United Kingdom; Leeds Teaching Hospitals NHS Trust, Great George St, Leeds LS13EX, United Kingdom., Frost H; Cancer Research UK Manchester Institute, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom., Graham DM; Cancer Research UK Manchester Institute, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom; The Christie HNS Foundation Trust, Wilmslow Rd, Manchester M204BX, United Kingdom., Landers D; DeLondra Oncology Ltd, 38, Carlton Avenue, Wilmslow SK9 4EP, United Kingdom., Aslam T; Manchester Royal Eye Hospital, Oxford Road, Manchester M13 9WL, United Kingdom; School of Health Sciences, University of Manchester, Oxford Road, Manchester M139PL, United Kingdom. Electronic address: tariq.aslam@manchester.ac.uk.
Source: International journal of medical informatics [Int J Med Inform] 2025 Sep; Vol. 201, pp. 105958. Date of Electronic Publication: 2025 May 06.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8243
DOI:10.1016/j.ijmedinf.2025.105958