摘要
本文基于文献综述,对人工智能技术在老年黄斑变性的应用、发展和研究分类进行了系统的研究,同时对老年黄斑病变的结构及病症(Biomarker)进行量化分析。对该领域的挑战与解决方案进行了剖析。提出将基于可解释性算法的老年黄斑变性诊断、早筛、眼底结构预测、病症及生活行为特征预测及可视化,以及治疗效果预测相关任务中的应用,作为未来潜在研究方向。因此,该文章对未来相关领域研究具有很强的临床指导意义和科学理论价值。
Based on literature review, this paper delivers a systematical study on the application, development and research focus of artificial intelligence (AI) technology to age-related macular degeneration (AMD). A quantitative analysis on the biomarker of AMD based on medical images is performed. Challenges and solutions are discussed. The application of interpretable algorithms in the tasks related to AMD diagnosis, early screening, and prediction of the treatment effect is proposed as a potential research direction in the future. Therefore, this article exhibits clinical guiding significance and scientific theoretical value for future research in related fields.
出处
《人工智能与机器人研究》
2022年第2期143-157,共15页
Artificial Intelligence and Robotics Research
