医学
人工智能
深度学习
过程(计算)
医疗保健
数据科学
人工智能应用
计算机科学
经济增长
操作系统
经济
作者
Timothy Chang,Caleb Seufert,Okyaz Eminağa,Eugene Shkolyar,Jim C. Hu,Joseph C. Liao
标识
DOI:10.1016/j.ucl.2020.09.004
摘要
With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algorithms have the ability to extract meaningful signal from complex datasets through an iterative process akin to human learning. Through advancements over the past decade in deep learning, AI-driven innovations have accelerated applications in health care. Herein, the authors explore the development of these emerging AI technologies, focusing on the application of AI to endourology and robotic surgery.
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