EP02.22: The application of artificial intelligence technology in the teaching of ultrasound diagnosis of adnexal masses
Year: 2024
Type: conference-abstract
Abstract: To explore the prospects of artificial intelligence (AI) technology applied in the teaching of ultrasound diagnosis of adnexal masses, thus to improve the teaching quality and the diagnostic ability of younger doctors. Ultrasound images of 102 patients with adnexal masses underwent transvaginal ultrasound examination at the General Hospital of the People's Liberation Army from January 1 in 2020 to March 1 were collected. The pathological results were used as the gold standard, and the diagnostic efficacy of artificial intelligence technology was compared with that of primary ultrasound physicians and senior ultrasound physicians in evaluating adnexal masses. AI technology accurately diagnosed 88 cases of adnexal masses, 83 cases were accurately diagnosed by senior physicians, and 53 cases were accurately diagnosed by junior physicians.AI The accuracy, sensitivity, and specificity of the AI technology for benign and malignant tumours were higher than those of junior ultrasound physicians, and there was no statistically significant difference compared to senior ultrasound physicians. The application of AI technology in the teaching of ultrasound diagnosis of accessory masses is beneficial for improving the diagnostic level of primary physicians.
DOI: 10.1002/uog.29001
Authors: Q. Li, J. Li
Institution: Chinese PLA General Hospital
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4402359406