Artificial Intelligence in Urology: Current Status and Future Perspectives.
Artificial intelligence
Computer vision
Machine learning
Natural language processing
Journal
The Urologic clinics of North America
ISSN: 1558-318X
Titre abrégé: Urol Clin North Am
Pays: United States
ID NLM: 0423221
Informations de publication
Date de publication:
Feb 2024
Feb 2024
Historique:
medline:
13
11
2023
pubmed:
10
11
2023
entrez:
9
11
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37945097
pii: S0094-0143(23)00056-3
doi: 10.1016/j.ucl.2023.06.005
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
117-130Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.