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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EP23.66: The application of artificial intelligence technology in the teaching of ultrasound diagnosis of adnexal masses

Qian Li, Jingbo Li
Ultrasound in Obstetrics and Gynecology
Radiomics and Machine Learning in Medical Imaging
article

EP23.66: The application of artificial intelligence technology in the teaching of ultrasound diagnosis of adnexal masses

Qian Li, Jingbo Li
article en

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 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.

Ultrasound in Obstetrics and GynecologyVol. 64(S1)
Chinese PLA General Hospital (CN)
Openalex Percentile: Top 75%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EP23.66: The application of artificial intelligence technology in the teaching of ultrasound diagnosis of adnexal masses — Qian Li, Jingbo Li · Ultrasound in Obstetrics and Gynecology (2024) | TGRS Research Map | TGRS