Screening mammography is the best line of defense against breast cancer. It can help to ensure early detection, higher survival rates and less invasive treatment if cancer is detected. Yet, according ...

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall ...

Prospective study finds Lunit AI increases cancer detection by 13.8% in single-reader settings without raising recall rates, presenting a game-changing tool for countries relying on single-reader ...

The study strengthens the case for AI as a clinical ally—one that could reshape breast cancer screening worldwide.

More than 40% of women have dense breast tissue. Here’s why mammography falls short—and how dense breast imaging is reshaping ...

Introduction of artificial intelligence (AI) into screening mammography for breast cancer significantly improved screening performance while reducing radiologists' workload, a large retrospective ...

Artificial intelligence (AI)-supported mammography screening shows favorable outcomes versus standard double reading.

AI-supported mammography detected more clinically relevant cancers and reduced interval cancer diagnoses by 12 per cent compared with standard screening. Women screened with AI were less likely to ...

Investigators compared the interval cancer rate in AI-supported mammography screening versus standard double reading without AI.

May 4, 2010 (Las Vegas, Nevada) — After he and his colleagues reviewed 10,020 mammograms performed at a surgeon-run South African breast health center, Justus Apffelstaedt, MD, FCS (SA), associate ...

Charlotte Radiology is turning away some mobile mammogram patients, potentially delaying diagnosis and critical care.