Journal article
Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review
Abstract
Purpose: The aim of this study was to investigate the current application of artificial intelligence (AI) tools in the teaching of ultrasound skills as they pertain to gynaecological ultrasound.
Methods: A scoping review was performed. Eight databases (MEDLINE, EMBASE, EMCARE, CINAHL, Scopus, Web of Science, IEEE Xplore and ACM digital library) were searched in December 2022 using predefined keywords. All types of publications were eligible for …
Authors
Deslandes A; Avery J; Chen H; Leonardi M; Condous G; Hull ML
Journal
Australasian Journal of Ultrasound in Medicine, Vol. 27, No. 1, pp. 5–11
Publisher
Wiley
Publication Date
February 2024
DOI
10.1002/ajum.12368
ISSN
1836-6864