Understanding the robustness of vision-language models to medical image artefacts.

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Title: Understanding the robustness of vision-language models to medical image artefacts.
Authors: Cheng Z; Department of Medical Physics & Biomedical Engineering, University College London, London, UK. zijie.cheng.23@ucl.ac.uk., Ong AY; Institute of Ophthalmology, University College London, London, UK.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK., Wagner SK; Institute of Ophthalmology, University College London, London, UK.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK., Merle DA; Institute of Ophthalmology, University College London, London, UK.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK., Ju L; Institute of Ophthalmology, University College London, London, UK.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK., Zhang H; Department of Medical Physics & Biomedical Engineering, University College London, London, UK.; UCL Hawkes Institute, University College London, London, UK., Chen R; Department of Computer Science, University College London, London, UK., Pang L; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China., Li B; Department of Medical Physics & Biomedical Engineering, University College London, London, UK., He T; UCL Hawkes Institute, University College London, London, UK.; Department of Computer Science, University College London, London, UK., Ran A; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China., Jiang H; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China., Yang DG; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore., Zou K; Centre for Innovation and Precision Eye Health; and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Goh JHL; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.; Centre for Innovation and Precision Eye Health; and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore., Srinivasan S; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore., Altmann A; Department of Medical Physics & Biomedical Engineering, University College London, London, UK.; UCL Hawkes Institute, University College London, London, UK., Alexander DC; UCL Hawkes Institute, University College London, London, UK.; Department of Computer Science, University College London, London, UK., Cheung CY; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China., Tham YC; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.; Centre for Innovation and Precision Eye Health; and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore., Keane PA; Institute of Ophthalmology, University College London, London, UK.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK., Zhou Y; Institute of Ophthalmology, University College London, London, UK. yukun.zhou.19@ucl.ac.uk.; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK. yukun.zhou.19@ucl.ac.uk.; UCL Hawkes Institute, University College London, London, UK. yukun.zhou.19@ucl.ac.uk.; Department of Computer Science, University College London, London, UK. yukun.zhou.19@ucl.ac.uk.
Source: NPJ digital medicine [NPJ Digit Med] 2025 Nov 27; Vol. 8 (1), pp. 727. Date of Electronic Publication: 2025 Nov 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-025-02108-w