Search Tag: risk prediction
2023 30 Nov
According to research presented at the 2023 RSNA, a deep learning AI model, developed solely using mammogram image biomarkers, accurately predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma. Risk-based screening has remained elusive as researchers grapple with accurately evaluating a woman's risk of developing breast cancer....Read more
2017 06 Oct
A newly validated outcome prediction score (PEAR score), based on information available at ICU admission, is simple, quick and easily understandable, and has high potential clinical utility for risk prediction, according to Kenneth Christopher, of Brigham and Women’s Hospital, Boston. The research was presented at LIVES 2017, the 30th annual congress...Read more