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Artificial intelligence in diabetic retinopathy screening: clinical assessment using handheld fundus camera in a real-life setting.
Lupidi, Marco; Danieli, Luca; Fruttini, Daniela; Nicolai, Michele; Lassandro, Nicola; Chhablani, Jay; Mariotti, Cesare.
Afiliação
  • Lupidi M; Eye Clinic, Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy. marcomed2@gmail.com.
  • Danieli L; Fondazione per la Macula Onlus, Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), University Eye Clinic, Genoa, Italy. marcomed2@gmail.com.
  • Fruttini D; IRCCS - Fondazione Bietti, Rome, Italy.
  • Nicolai M; Department of Medicine and Surgery, University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy.
  • Lassandro N; Eye Clinic, Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy.
  • Chhablani J; Eye Clinic, Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy.
  • Mariotti C; Department of Ophthalmology, UPMC Eye Center, University of Pittsburgh, Pittsburgh, USA.
Acta Diabetol ; 60(8): 1083-1088, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37154944
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Idioma: En Ano de publicação: 2023 Tipo de documento: Article