Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.

Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

Komen, the “world’s leading breast cancer organization,” recently filed an amicus brief with SCOTUS, which will take up the case in April. 

New analysis details patterns radiologists can look for that may signal a patient is experiencing domestic violence. 

Researchers involved in its development are hopeful that the scanner could eventually lead to improved outcomes in cancer patients who require surgery to remove malignant tissue. 

The module helps automate the detection of eight common fetal anomalies using seven routine ultrasound views of the heart, brain and abdomen.

The technique highlights differences in how water molecules move through cancerous tissue in comparison to healthy tissue.