Competing to classify thyroid nodules on ultrasound images as either malignant or benign, three deep learning models have essentially drawn a tie with four radiologists.

After being presented with more than 15,000 images, each DL network yielded results comparable to that of four seasoned radiologists, authors of a new EJR study said.

Mayo Clinic researchers have demonstrated a deep learning model that can automatically segment kidneys and measure total kidney volumes using only 3D ultrasound images.

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. 

New research shows that persistent lymph node swelling observed on imaging can persist beyond 12 weeks post-vaccination for up to 50% of women.

In addition to O-RADS external validation, experts also sought to determine if incorporating acoustic shadowing as a benign finding would improve diagnostic performance. 

Using a handheld probe and smartphone, nurse midwives were able to estimate gestational age as accurately as certified sonographers.

Experts involved with the study suggested that these findings could be beneficial in the future of ovarian tumor assessment by providing clinical decision making support.