This study compared standard 3D mammograms with a high-resolution version. The high-resolution scans caught more cancers per 1,000 women screened, though they did lead to slightly more callbacks. Essentially, crisper images mean more cancers spotted early, even if it means an extra trip for follow-up imaging here and there.

The takeaway is that imaging technology keeps improving, and even small bumps in resolution can detect tumours that older systems might miss. For people with dense breasts or borderline findings, this can make a meaningful difference.

In Shanghai, researchers tested AI-powered handheld ultrasound for community breast cancer screening. The AI significantly increased the detection of early-stage breast cancers, which is especially important in populations with denser breast tissue where mammograms aren’t always ideal. The study explicitly states that AI “significantly increases the detection rate of early breast cancers.”

It shows that ultrasound + AI is a powerful combo, especially in younger or dense-breasted populations. Handheld devices mean screening can reach places where full imaging centers aren't available.

Engineers designed a low-cost, portable wearable ultrasound that scans both breasts in about 40 seconds. It attaches securely to the body, works with standard ultrasound machines, and reduces motion blur from breathing. Early volunteer tests were promising, showing it could capture clear 3D images.

It’s essentially a “set-and-scan” system, opening the door to point-of-care breast imaging — think mobile clinics, rural outreach, or quick checks in under-resourced settings. Technology like this could make ultrasound accessible far beyond traditional hospital walls.