The Utility of Smartphone-Based Artificial Intelligence Approaches for Diabetic Retinopathy: A Literature Review and Meta-Analysis.

Sheikh, Aadil; Bhatti, Ahsan; Adeyemi, Oluwaseun; Raja, Muhammad; Sheikh, Ijaz

Sheikh, Aadil; Bhatti, Ahsan; Adeyemi, Oluwaseun; Raja, Muhammad; Sheikh, Ijaz.

Afiliación

Sheikh A; Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Bhatti A; Department of Ophthalmology, Singleton Hospital, Swansea, Wales, UK.
Adeyemi O; Department of Public Health Sciences, University of North Carolina, Charlotte, USA.
Raja M; Department of Ophthalmology, James Paget University Hospitals NHS Foundation Trust, Great Yarmouth, UK.
Sheikh I; Department of Ophthalmology, East Surrey Hospital, Redhil, Surrey, UK.

J Curr Ophthalmol ; 33(3): 219-226, 2021.

Article en En | MEDLINE | ID: mdl-34765807

Palabras clave

Artificial intelligence; Deep learning; Diabetic retinopathy; Ophthalmology; Screening; Smartphone

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Systematic_reviews Idioma: En Revista: J Curr Ophthalmol Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: India

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