工作流程
背景(考古学)
糖尿病性视网膜病变
糖尿病性黄斑水肿
医疗保健
软件部署
医学
计算机科学
仿形(计算机编程)
人工智能
风险分析(工程)
数据科学
糖尿病
古生物学
内分泌学
经济
操作系统
生物
数据库
经济增长
作者
Jie Yao,Joshua Lim,Gilbert Yong San Lim,Jasmine Chiat Ling Ong,Yuhe Ke,Ting Fang Tan,Tien‐En Tan,Stela Vujosevic,Daniel Shu Wei Ting
出处
期刊:Eye and vision
[BioMed Central]
日期:2024-06-17
卷期号:11 (1): 23-23
被引量:29
标识
DOI:10.1186/s40662-024-00389-y
摘要
AI has the potential to revolutionize the management of DR and DME, offering more efficient and precise tools for healthcare professionals. However, overcoming challenges in deployment, regulatory compliance, and patient privacy is essential for these technologies to realize their full potential. Future research should aim to bridge the gap between technological innovation and clinical application, ensuring AI tools integrate seamlessly into healthcare workflows to enhance patient outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI