| Literature DB >> 33218590 |
Timothy C Chang1, Caleb Seufert2, Okyaz Eminaga2, Eugene Shkolyar2, Jim C Hu3, Joseph C Liao4.
Abstract
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.Entities:
Keywords: Artificial intelligence; Deep learning; Endourology; Urology
Mesh:
Year: 2020 PMID: 33218590 DOI: 10.1016/j.ucl.2020.09.004
Source DB: PubMed Journal: Urol Clin North Am ISSN: 0094-0143 Impact factor: 2.241