{
  "abstract": "Aim To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) system (AEYE Diagnostic Screening (AEYE-DS), AEYE Health, USA) for diabetic retinopathy (DR) screening using the Topcon NW500 camera (Topcon, Japan) in an endocrinology clinic.Methods Adults with type 1 or type 2 diabetes without previously reported DR attending routine endocrinology follow-up were invited to participate. Non-mydriatic, macula-centred fundus photographs were acquired by a novice, non-ophthalmic operator. Images were analysed by AEYE-DS to detect more-than-mild DR (mtmDR). AI-positive results prompted physician counselling and automated referral for internal confirmatory examination.Results Definitive AEYE-DS results were obtained for 95.7% (245/256) of participants without pharmacological dilation. Seventy-six (29.6%) patients screened positive for mtmDR, of whom 34 (44.7%) completed confirmatory examination at the institution’s retina clinic; externally completed follow-up was not captured. Four patients (11.8% of those evaluated) required treatment with intravitreal anti-vascular endothelial growth factor therapy or panretinal photocoagulation. Additional previously unrecognised ocular conditions were identified among several AI-positive patients. Patient satisfaction was high, with >80% reporting the screening was easy to use, time-efficient and recommendable.Conclusions In a real-world endocrinology clinic, autonomous AI screening for DR using AEYE-DS integrated with the Topcon NW500 enabled efficient DR screening and achieved high non-mydriatic imageability. A clinically relevant proportion of patients requiring ophthalmic evaluation has been captured. Internal referral for confirmatory testing enabled assessment of downstream outcomes. The findings support scalable, point-of-care autonomous screening and a stepped-referral approach for AI-positive patients.",
  "authors": [
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Or Gil"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Amiram Arad"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Miri Fogel"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Ofri Vorobichik-Berar"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Gabriel Katz"
    },
    {
      "affiliations": [
        "Division of Endocrinology Diabetes and Metabolism, Chaim Sheba Medical Center, Tel HaShomer, Tel Aviv District, Israel"
      ],
      "name": "Rina Gurevich"
    },
    {
      "affiliations": [
        "Division of Endocrinology Diabetes and Metabolism, Chaim Sheba Medical Center, Tel HaShomer, Tel Aviv District, Israel"
      ],
      "name": "Amir Tirosh"
    },
    {
      "affiliations": [
        "Division of Endocrinology Diabetes and Metabolism, Chaim Sheba Medical Center, Tel HaShomer, Tel Aviv District, Israel"
      ],
      "name": "Naama Pelz-Sinvani"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel"
      ],
      "name": "Iris Moroz"
    },
    {
      "affiliations": [
        "Division of Endocrinology Diabetes and Metabolism, Chaim Sheba Medical Center, Tel HaShomer, Tel Aviv District, Israel"
      ],
      "name": "Shiran Shalem"
    },
    {
      "affiliations": [
        "Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA"
      ],
      "name": "Brent A Siesky"
    },
    {
      "affiliations": [
        "Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA"
      ],
      "name": "Alice Chandra Verticchio Vercellin"
    },
    {
      "affiliations": [
        "Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA"
      ],
      "name": "Alon Harris"
    },
    {
      "affiliations": [
        "The Goldschleger Eye Institute, Gray Faculty of Medical & Health Sciences, Tel-Aviv University, Chaim Sheba Medical Center, Tel Aviv-Yafo, Tel Aviv District, Israel",
        "Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA"
      ],
      "name": "Gal Yaakov Cohen"
    }
  ],
  "title": "Real-world integration of an autonomous artificial intelligence system for diabetic retinopathy screening in an endocrinology outpatient clinic",
  "uid": "53c6af97-6c78-5b67-aa5b-88a0f262884a"
}