Deep learning model analyzes mammograms to predict breast cancer risk up to five years in advance, now being tested at ...

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Diana Miglioretti, professor and division chief of biostatistics at UC Davis Health, is co-leading a $16 million national study on the role of artificial intelligence in breast cancer screening.

UCLA and UC Davis are co-leading a multi-institutional clinical trial to evaluate whether artificial intelligence can help support radiologists in interpreting mammograms more accurately. The study, ...

Example screening mammograms with an invasive ductal carcinoma (arrows) in which the women would not have been recalled with an AI–reading-only strategy. However, these examinations would have been ...

Breast health screenings can feel overwhelming, especially when medical terminology and unfamiliar procedures create anxiety about what lies ahead. Understanding breast ultrasounds removes much of ...

Contrast-enhanced mammography identified three times as many tumors as ultrasound scans. But it is not widely used for screening in the United States. By Roni Caryn Rabin Cancer screening poses a ...

Higher education linked to higher AI acceptance; concern for bias greater in Hispanic, non-Hispanic Black versus White participants. HealthDay News — Use of artificial intelligence (AI) as a second ...

Patients undergoing mammography preferred having their images interpreted by a radiologist before and after AI review, according to a study published April 18 in Radiology: Imaging Cancer. Researchers ...