Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.
Experts have developed an artificial intelligence model that can estimate gestational age with accuracy that rivals that of formally trained sonographers completing fetal biometry scans.
In addition to O-RADS external validation, experts also sought to determine if incorporating acoustic shadowing as a benign finding would improve diagnostic performance.
Researchers reported that the artificial intelligence system was able to interpret more than 114,000 screening mammograms using a reading protocol with high sensitivity and specificity.
The DBT-based combined radiomic nomogram achieved a specificity of nearly 95% when predicting lymphovascular invasion, which was higher than other clinical predictive models.
The downward trend in annual mammography adherence should serve as a call to action for new processes to engage breast cancer survivors, physicians urged.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.