Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery
Autor: | Eugene Shkolyar, Okyaz Eminaga, Timothy Chang, Jim C. Hu, Joseph C. Liao, Caleb Seufert |
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Rok vydání: | 2020 |
Předmět: |
Male
Urologic Diseases Urology 030232 urology & nephrology History 21st Century GeneralLiterature_MISCELLANEOUS Patient care 03 medical and health sciences 0302 clinical medicine Robotic Surgical Procedures Artificial Intelligence Health care Image Processing Computer-Assisted Medicine Humans Robotic surgery Multiparametric Magnetic Resonance Imaging Urinary Tract business.industry Deep learning Medical record Optical Imaging Prostatic Neoplasms Endoscopy History 20th Century Prognosis ComputingMethodologies_PATTERNRECOGNITION 030220 oncology & carcinogenesis Urologic Surgical Procedures Artificial intelligence business Human learning Algorithms |
Zdroj: | The Urologic clinics of North America. 48(1) |
ISSN: | 1558-318X |
Popis: | 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. |
Databáze: | OpenAIRE |
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