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Showing 1–4 of 4 results
Advanced filters: Author: Ten Cheer Quek Clear advanced filters

  • Tailored to provide diabetes management recommendations from large training and validation datasets, an artificial intelligence system integrating language and computer vision capabilities is shown to improve self-management of patients in a prospective implementation study.

    • Jiajia Li
    • Zhouyu Guan
    • Tien Yin Wong
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 2886-2896

  • A deep learning algorithm shows promising performance in predicting progression to diabetic retinopathy in patients, up to 5 years in advance, potentially providing support for medical treatment decisions and indications for personalized screening frequency in a real-world cohort.

    • Ling Dai
    • Bin Sheng
    • Weiping Jia
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 584-594

  • Elsawy, Keenan, Chen et al. detect cataracts from color fundus photography using an explainable deep learning network called DeepOpacityNet. DeepOpacityNet detects cataracts more accurately than ophthalmologists and demonstrates that the absence of blood vessels is an indicator that cataracts are present.

    • Amr Elsawy
    • Tiarnan D. L. Keenan
    • Zhiyong Lu
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-11