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A novel clinical artificial intelligence model for disease detection via retinal imaging

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摘要 Artificial intelligence(AI)is an emerging field in which computerized systems are used to carry out complex tasks in place of humans.Medical AI algorithms have been developed for disease diagnosis and prediction and treatment recommendation across various clinical data types,e.g.,chest X-rays,electrocardiograms,and other radiological images.1 In ophthalmology,particularly,great progress has been made in AI systems over the past decade.Color fundus photography(CFP)and optical coherence tomography(OCT),which are readily available in routine clinical practice,are both mainstream and useful retinal imaging modalities in ophthalmology.In September 2023,the 2023 Lasker-Debakey Clinical Medical Research Award was awarded to three scientists for their work on OCT for accurate retinal disease detection.
出处 《The Innovation》 EI 2024年第2期11-12,共2页 创新(英文)
基金 This work was supported by the National Natural Science Foundation of China(82200961) the Science and Technology Commission of Shanghai(20DZ2270800) the Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology(2022SKLE-KFKT004) the China Postdoctoral Science Foundation(2022M720091,2023M741708,2023TQ0159,and GZC20233503)。
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