A research team led by Yuqun Wang from Shanghai Jiao Tong University School of Medicine found that their model, which uses both grayscale and contrast-enhanced ultrasound (CEUS) images, has high sensitivity, specificity, and accuracy marks when evaluating these breast lesions.

“Our proposed multiregional deep learning model had a diagnostic performance comparable to that of ultrasound experts, showing the potential to be clinically useful in minimizing the number of false-positive biopsies,” Wang and co-authors wrote.

Tissue sampling is recommended for BI-RADS 4 breast lesions, as…