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.
Researchers from Boston Children’s Hospital were able to predict with 83% accuracy if patients were going to be a no-show at the time of their appointment.
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.
Radiologists have developed an abdominal x-ray protocol that quantifies patient “thickness” to yield images of high quality while reducing radiation dose by 80%.
Although current guidelines recommend radiologists evaluate CAC on all non-gated, non-contrast chest CT scans, the authors of the study note that these guidelines are not consistently followed.
The FDA’s approval was based on data from the EXPLORER-HCM trial, which showed that mavacamten was superior to a placebo for treating obstructive HCM and associated with no significant long-term, treatment-related adverse events.