Evaluation of an artificial intelligence support system for breast cancer screening in Chinese people based on mammogram.

ABSTRACT:

Background

To evaluate the diagnostic performance of radiologists on breast cancer with or without artificial intelligence (AI) support.

Methods

A retrospective study was performed. In total, 643 mammograms (average age: 54 years; female: 100%; cancer: 62.05%) were randomly allocated into two groups. Seventy-five percent of mammograms in each group were randomly selected for assessment by two independent radiologists, and the rest were read once. Half of the 71 radiologists could read mammograms with AI support, and the other half could not. Sensitivity, specificity, Youden's index, agreement rate, Kappa value, the area under the receiver operating characteristic curve (AUC) and the reading time of radiologists in each group were analyzed.

Results

The average AUC was

SUBMITTER: Bao C 

PROVIDER: S-EPMC9939225 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature