Surgical Artificial Intelligence: Endourology.

Humans Artificial Intelligence Reproducibility of Results Urologists
Artificial intelligence Benign prostatic hyperplasia Endourology Kidney stone Machine learning PCNL Ureteroscopy

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
Historique:
medline: 13 11 2023
pubmed: 10 11 2023
entrez: 9 11 2023
Statut: ppublish

Résumé

Endourology is ripe with information that includes patient factors, laboratory tests, outcomes, and visual data, which is becoming increasingly complex to assess. Artificial intelligence (AI) has the potential to explore and define these relationships; however, humans might not be involved in the input, analysis, or even determining the methods of analysis. Herein, the authors present the current state of AI in endourology and highlight the need for urologists to share their proposed AI solutions for reproducibility outside of their institutions and prepare themselves to properly critique this new technology.

Identifiants

DOI: 10.1016/j.ucl.2023.06.004 PMID: 37945104
pubmed: 37945104
pii: S0094-0143(23)00055-1
doi: 10.1016/j.ucl.2023.06.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-89

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Zachary E Tano (ZE)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA. Electronic address: ztano@hs.uci.edu.

Andrei D Cumpanas (AD)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.

Antonio R H Gorgen (ARH)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.

Allen Rojhani (A)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.

Jaime Altamirano-Villarroel (J)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.

Jaime Landman (J)

Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Surgical Artificial Intelligence: Endourology.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Surgical Artificial Intelligence: Endourology.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Surgical Artificial Intelligence: Endourology.
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Personnel de santé › Médecins › Urologues › Surgical Artificial Intelligence: Endourology.