EP23.66: The application of artificial intelligence technology in the teaching of ultrasound diagnosis of adnexal masses
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 1st in 2020 to March 1st 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.
Authors
- Qian Li (ORCID: https://orcid.org/0000-0001-8827-939X)
- Jingbo Li (ORCID: https://orcid.org/0000-0002-6130-7538)
Institutions
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Ultrasound in Obstetrics and Gynecology
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/uog.29001
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00