医学
可解释性
人工智能
互联网
数据科学
计算机科学
万维网
作者
Riadh Abid,Ahmed A. Hussein,Khurshid A. Guru
标识
DOI:10.1016/j.ucl.2023.06.005
摘要
Surgical fields, especially urology, have shifted increasingly toward the use of artificial intelligence (AI). Advancements in AI have created massive improvements in diagnostics, outcome predictions, and robotic surgery. For robotic surgery to progress from assisting surgeons to eventually reaching autonomous procedures, there must be advancements in machine learning, natural language processing, and computer vision. Moreover, barriers such as data availability, interpretability of autonomous decision-making, Internet connection and security, and ethical concerns must be overcome.
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