Decisions Informed by Computing Entities (DICE) to improve prognostic value of myocardial perfusion imaging: the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE) Study
نویسندگان
چکیده
Background Quantitative analysis can improve myocardial perfusion imaging (MPI) for prediction of prognosis. We have designed a novel approach, Decisions Informed by Computed Entities (DICE), to enhance the prognostic ability of MPI data to predict major adverse cardiovascular events (MACE) in women with suspected ischemic heart disease. We applied DICE to cardiovascular magnetic resonance imaging (CMRI) and Single Positron Computed Tomography (SPECT) MPI data sets in the Women’s Ischemia Syndrome Evaluation (WISE) Study.
منابع مشابه
Does expanded artificial intelligence improve the prognostic value of myocardial perfusion imaging? A report from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE)
Background We previously introduced a model-based approach (Decisions Informed by Computed Entities [DICE]), a mathematical form of Artificial Intelligence (AI) to improve prognostic values of quantitative myocardial perfusion imaging (MPI). When DICE was applied to cardiovascular MRI (CMR) it improved prediction of MACE in women with suspected ischemic heart disease (IHD) compared to the conve...
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