Latest Breaking News On - Digital breast tomosynthesis - Page 12 : comparemela.com

March 12, 2021 Artificial intelligence (AI) software may help reduce the workloads of breast imagers by helping them focus on the digital breast tomosynthesis (DBT) exams that are most likely to have cancer, according to research presented at ECR 2021. A commercially available software application (ProFound AI, iCAD) allowed a research team led by Dr. Emily Conant, chief of breast imaging at the University of Pennsylvania, to identify one-third of screening DBT exams to triage and remove from priority review, with zero false negatives. When risk factors like breast density and age were added to the AI analysis, Conant et al found that more than half of cases could be triaged, with no false negatives.

Emily conantUniversity of pennsylvaniaMedical imagingDigital breast tomosynthesisஎமிலி கோனன்ட்பல்கலைக்கழகம் ஆஃப் பென்சில்வேனியாகதிரியக்க நிபுணர்மருத்துவ இமேஜிங்