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.
Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.
This approach can be replicated by radiologist-led teams elsewhere, providing a "high-value, scalable opportunity" to reduce cancer screening disparities.
Automatically scheduling patients for breast imaging also created a heavier administrative burden, researchers detailed Monday in JAMA Internal Medicine.
“It’s vital that imaging centers have a process in place to provide ongoing monitoring of AI once it becomes part of clinical practice,” one expert noted.