دورية أكاديمية

Surgical Artificial Intelligence in Urology: Educational Applications.

التفاصيل البيبلوغرافية
العنوان: Surgical Artificial Intelligence in Urology: Educational Applications.
المؤلفون: Goldenberg MG; Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, 1441 Eastlake Avenue, Suite 7416, Los Angeles, CA 90033, USA. Electronic address: Mitchell.goldenberg@med.usc.edu.
المصدر: The Urologic clinics of North America [Urol Clin North Am] 2024 Feb; Vol. 51 (1), pp. 105-115. Date of Electronic Publication: 2023 Jul 27.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Saunders Country of Publication: United States NLM ID: 0423221 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-318X (Electronic) Linking ISSN: 00940143 NLM ISO Abbreviation: Urol Clin North Am Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Philadelphia, Saunders.
مواضيع طبية MeSH: Urology*/education , Simulation Training*, Humans ; Artificial Intelligence ; Educational Measurement ; Clinical Competence
مستخلص: Surgical education has seen immense change recently. Increased demand for iterative evaluation of trainees from medical school to independent practice has led to the generation of an overwhelming amount of data related to an individual's competency. Artificial intelligence has been proposed as a solution to automate and standardize the ability of stakeholders to assess the technical and nontechnical abilities of a surgical trainee. In both the simulation and clinical environments, evidence supports the use of machine learning algorithms to both evaluate trainee skill and provide real-time and automated feedback, enabling a shortened learning curve for many key procedural skills and ensuring patient safety.
(Copyright © 2023 Elsevier Inc. All rights reserved.)
فهرسة مساهمة: Keywords: Artificial intelligence; Machine learning; Surgical education; Surgical simulation; Surgical skill
تواريخ الأحداث: Date Created: 20231109 Date Completed: 20231113 Latest Revision: 20231113
رمز التحديث: 20240628
DOI: 10.1016/j.ucl.2023.06.003
PMID: 37945096
قاعدة البيانات: MEDLINE
الوصف
تدمد:1558-318X
DOI:10.1016/j.ucl.2023.06.003