The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

Artificial intelligence could serve as an effective tool for determining which patients may need additional breast MRI sequences mid-protocol.

Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical. 

This task could potentially be performed by a member of the radiology scheduling team with oversight by a clinical nurse navigator. 

Clairity Breast analyzes screening mammograms and can detect “subtle imaging features” correlated with long-term risk, the Boston-based company notes. 

Advances in treatment are often credited with improving breast cancer outcomes, but new findings suggest the decrease in mortality may actually be due to improved screening initiatives. 

CT for severe PPH cases could help identify the source of bleeding with greater accuracy, leading to improved management and outcomes. 

It is widely agreed that women with dense breast tissue should undergo supplemental imaging in addition to their routine mammogram screening, but the jury is still out on which modality is best for cancer detection in this group. 

"Shorter reading and scan times may allow implementation of MRI in national screening programs, making it available for all women," one expert says.