With the recent developments in deep learning technologies, artificial intelligence (Al) has gradually been transformed from cutting-edge technology into practical applications. Al plays an important role in disease diagnosis and treatment, health management, drug research and development, and precision medicine. Interdisciplinary collaborations will be crucial to develop new Al algorithms for medical applications. In this paper, we review the basic workflow for building an Al model, identify publicly available databases of ocular fundus images, and summarize over 60 papers contributing to the field of Al development.
基金：
Beijing Hospitals Authority Youth Programme [QML20170206]; priming scientific research foundation for the junior researcher in Beijing Tongren Hospital, Capital Medical University [2018-YJJ-ZZL-052]
第一作者机构：[1]Capital Med Univ, Beijing Ophthalmol & Visual Sci Key Lab, Beijing Tongren Hosp, Beijing Inst Ophthalmol,Beijing Tongren Eye Ctr, Beijing, Peoples R China
通讯作者：
通讯机构：[3]Macau Univ Sci & Technol, Fac Med, Taipa, Macao, Peoples R China[4]Univ Calif San Diego, Inst Genom Med, La Jolla, CA 92093 USA
推荐引用方式(GB/T 7714)：
Xu Jie,Xue Kanmin,Zhang Kang.Current status and future trends of clinical diagnoses via image-based deep learning[J].THERANOSTICS.2019,9(25):7556-7565.doi:10.7150/thno.38065.
APA：
Xu, Jie,Xue, Kanmin&Zhang, Kang.(2019).Current status and future trends of clinical diagnoses via image-based deep learning.THERANOSTICS,9,(25)
MLA：
Xu, Jie,et al."Current status and future trends of clinical diagnoses via image-based deep learning".THERANOSTICS 9..25(2019):7556-7565
医学