Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
The 4D system harnesses X-ray diffraction to measure molecular-level signatures of disease; these tissue “fingerprints” could help providers diagnose breast cancer in its earliest stages.
Breast radiologists are known to have higher rates of burnout in comparison to many of their peers, but the beginning of the pandemic brought this group something not often encountered within the specialty—downtime.
"This system is bringing with it a greater humanization of AI and therefore a more realistic representation of what we do as radiologists,” one member of the specialty said.
The findings were reached using an analytic hierarchy process, which can help physicians review options with patients who have never experienced either exam.