Taha Soomro

Government of the United Kingdom - Moorfields Eye Hospital

London

United Kingdom

  • Government of the United Kingdom - Moorfields Eye Hospital

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Teleophthalmology and Artificial Intelligence for Community Optometry Referrals: A Cluster Superiority Randomised Controlled Trial with a Linked Prospective AI Validation - The HERMES Study

Number of pages: 25 Posted: 26 Mar 2025
Anitta Sharma, Rima Hussain, Annastazia E. Learoyd, Angela Aristidou, Taha Soomro, Ann Blandford, John G. Lawrenson, Gabriela Grimaldi, Abdel Douiri, Ashleigh Kernohan, Tomos Robinson, Najmeh Moradi, Christiana Dinah, Evangelos Minos, Tariq Aslam, Avinash Manna, Alastair Denniston, Praveen J. Patel, Pearse Keane, Catey Bunce, Luke Vale and Konstantinos Balaskas
Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, King’s College London, University College London, Government of the United Kingdom - Moorfields Eye Hospital, University College London, University of London, Government of the United Kingdom - Moorfields Eye Hospital, King’s College London - Department of Public Health Sciences, Newcastle University, Newcastle University, Newcastle University, NHS Foundation Trust - London North West Healthcare NHS Trust, North West Anglia NHS Foundation Trust, The University of Manchester, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Biomedical Research Centre, London School of Hygiene & Tropical Medicine and Moorfields Eye Hospital - Ophthalmic Reading Centre
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Abstract:

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ophthalmology, telemedicine, teleophthalmology, medical AI, digital health, retinal disease, primary care, referrals, community optometry, optical coherence tomography