AI has improved breast cancer detection after mammography screening, reducing radiologists’ workload without compromising quality. In addition, genetic advances make it possible to better identify risk even without family history.
Artificial intelligence (AI) has demonstrated high performance in detecting breast cancer up to two years after screening mammography and can help evaluate low-risk mammograms, thereby reducing radiologists’ workload without compromising program quality… + more.
AI has improved breast cancer detection after mammography screening, reducing radiologists’ workload without compromising quality. In addition, genetic advances make it possible to better identify risk even without family history. + read more
Population screening is more effective than opportunistic screening but faces difficulties in participation. SEPD promotes health education and integration of levels of care to improve early diagnosis and screening program coverage. + read more
The breast imaging team at SERAM publishes a paper suggesting that incorporating artificial intelligence support helps in breast cancer screening. + read more
Every year in Spain, about 5,000 women are diagnosed with so-called postpartum breast cancer, which has its own clinical characteristic, which refers to cancer that occurs up to 10 years after becoming a mother and is the subject of the new GEICAM research area. . + read more
The inclusion of immunotherapy in the treatment of this tumor subtype, which is the most aggressive and has fewer therapeutic options, has produced mixed results in terms of efficacy, highlighting the importance of finding new markers that will help determine response to this therapy. + read more
They carry out all additional tests if identified and changed and are involved in planning, monitoring, treatment and reviews. + read more
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