{
  "abstract": "Objective\n\nThe aim of this study was to evaluate the applicability of a smartphone-based portable fundus camera for diabetic retinopathy screening in elderly residents of a specialized shelter in São Paulo, Brazil, considering image acquisition by non-ophthalmologist professionals and remote case classification.Methods\n\nProspective pilot interventional study at the Centro de Acolhida Especial para Idosos Morada São João. Thirty-eight participants (76 eyes) underwent retinal imaging using the Eyer® portable fundus camera (Phelcom Technologies, Brazil) by trained non-ophthalmologist professionals. Images were remotely evaluated by a retinal specialist and compared to the EyerMaps® artificial intelligence system.Results\n\nMean age was 71.6±7.0 years; 78.9% male. Fifteen participants (39.5%) had confirmed diabetes mellitus. The specialist identified abnormalities in 70 of 76 eyes (92.1%), most frequently glaucoma suspicion, media opacity suggestive of cataract, chorioretinal changes, and age-related macular degeneration signs; no diabetic retinopathy was identified. Against the specialist's assessment of any ocular abnormality as the reference standard, the artificial intelligence system classified 22 eyes as abnormal, yielding sensitivity 25.7% (95%CI 16.9-37.0), specificity 33.3% (95%CI 9.7-70.0), positive predictive value 81.8% (95%CI 61.5-92.7), negative predictive value 3.7% (95%CI 1.0-12.5), and overall accuracy 26.3% (95%CI 17.7-37.2).Conclusion\n\nThe Eyer® device demonstrated operational feasibility for ocular screening by trained non-ophthalmologists. The high prevalence of media opacities and non-diabetic retinopathy conditions compromised artificial intelligence performance, highlighting the need for broader screening strategies in elderly and socially vulnerable populations.",
  "abstract_shown": true,
  "affiliations": [
    "Irmandade da Santa Casa de Misericórdia de São Paulo - São Paulo (SP), Brazil.",
    "Irmandade da Santa Casa de Misericórdia de São Paulo, Department of Ophthalmology - São Paulo (SP), Brazil."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Julia Gimenes da Silva Dias",
      "orcid": "0009-0009-9010-4770"
    },
    {
      "affs": [
        1
      ],
      "name": "Gabriel Costa de Andrade",
      "orcid": "0000-0002-5881-8126"
    },
    {
      "affs": [
        1
      ],
      "name": "João Victor Tenório Lossio de Macedo",
      "orcid": "0009-0004-0662-0814"
    },
    {
      "affs": [
        0
      ],
      "name": "Andrezza Soldera Graziano",
      "orcid": "0009-0004-6990-1058"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/aenbh3ggtq0cn.bib",
  "cited_by": 0,
  "doi": "10.1590/1806-9282.20260862",
  "fulltext_url": "https://europepmc.org/articles/PMC13674949",
  "id": "aenbh3ggtq0cn",
  "issns": [
    "0104-4230",
    "1806-9282"
  ],
  "landing_url": "https://europepmc.org/article/MED/42912071",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2741|Retinal Imaging and Analysis"
    ]
  ],
  "openalex": "W7222505904",
  "pdf_url": "https://europepmc.org/articles/PMC13674949?pdf=render",
  "pmcid": "PMC13674949",
  "pmid": "42912071",
  "published": "2026-10-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/aenbh3ggtq0cn.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:10Z",
      "native_id": "MED:42912071",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42912071"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Retinal Imaging and Analysis",
      "subfield": "imaging"
    }
  ],
  "title": "Fundus camera and artificial intelligence for diabetic retinopathy screening in a São Paulo shelter.",
  "title_text": "Fundus camera and artificial intelligence for diabetic retinopathy screening in a São Paulo shelter.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:10Z",
  "url": "https://research.draconitic.com/paper/aenbh3ggtq0cn",
  "venue": "Revista da Associacao Medica Brasileira (1992)",
  "versions": []
}