Artificial intelligence-driven patient history and symptoms combined with slit-lamp eye simulation for enhancing the clinical training of students.

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Bibliographic Details
Title: Artificial intelligence-driven patient history and symptoms combined with slit-lamp eye simulation for enhancing the clinical training of students.
Authors: Ting PW; School of Optometry, Aston University, Birmingham, UK., Wolffsohn JS; School of Optometry, Aston University, Birmingham, UK.
Source: Clinical & experimental optometry [Clin Exp Optom] 2026 Apr; Vol. 109 (3), pp. 434-443. Date of Electronic Publication: 2025 Sep 21.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 8703442 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1444-0938 (Electronic) Linking ISSN: 08164622 NLM ISO Abbreviation: Clin Exp Optom Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1444-0938
DOI:10.1080/08164622.2025.2544809