Artificial Intelligence Assisted Therapeutic Regimen and Technology Transformation in Retinal Diseases
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摘要: 近年来,人工智能(artificial intelligence,AI)技术正逐渐渗透到多个医学专科领域,推动临床诊疗发生了前所未有的变革。目前,AI技术在眼科领域的应用得到了迅猛发展,其诊断迅速、精确度高且客观可信,可优化眼科患者的诊疗模式,极大提升临床诊断效率。部分AI眼科影像研究已实现产品转化,我国和全球均有已批准上市的AI眼科影像产品,但受训练数据、研发能力、临床验证和市场适应等多种因素影响,目前仍有诸多研究亟待实现进一步转化。因此,本文提出AI技术辅助眼底疾病诊疗的新模式并分析技术转化过程中的制约因素,以期提高AI技术在眼底疾病中的辅助诊疗水平。Abstract: In recent years, artificial intelligence (AI) technology has gradually penetrated into many medical specialties, bringing unprecedented changes to the medical field. At present, with the application of AI technology in the field of ophthalmology developing rapidly, AI diagnosis is rapid, highly accurate and objective, which can optimise the diagnosis and treatment mode of ophthalmology patients and greatly improve the efficiency of clinical diagnosis. Some AI ophthalmic imaging research has been translated into products, and therefore both domestic and international AI retinal imaging products are now available. However, due to various factors such as training data, R&D capability, clinical validation and market adaptation, many research outcomes still wait to to be translated. Therefore, we propose new therapeutic regimens of retinal diseases and analyze the underlying constraints to technology translation in AI research, with the hope of improving the use of AI technology in the diagnosis and treatment of fundus diseases.作者贡献:陈有信负责选题设计及论文审核;徐至研负责查阅文献、撰写和修改论文。利益冲突:所有作者均声明不存在利益冲突
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