Connie Mosher Syharat, Alexandra Hain, Arash E Zaghi, Rachael Gabriel, Catherine G P Berdanier
Experiences of neurodivergent students in graduate STEM programs
Frontiers in psychology
electronic health records ehr linked digital imaging communications medicine dicom biological specimens deep learning dl algorithms could potentially improve patient care automated case detection surveillance hypothesized applying keyword searches routinely stored ehr conjunction aipowered automated reading dicom echocardiography images analysing biomarkers routinely stored plasma samples able identify heart failure hf patients used ehr data 1993 2021 tayside fife 20 scottish population implemented keyword search strategy complemented filtering based international classification diseases icd codes prescription data ehr data set applied dl automated interpretation echocardiographic dicom images methods integrated analysis routinely stored plasma samples identify categorize patients hf reduced ejection fraction hfref hf preserved ejection fraction hfpef controls without hf final diagnosis verified manual review medical records measured natriuretic peptides stored blood samples comparing clinical outcomes among groups study selected patient cohort algorithmic workflow process started 60 850 ehr data resulted final cohort 578 patients divided 186 controls 236 hfpef 156 hfref excluding individuals mismatched data significant valvular heart disease analysis baseline characteristics revealed compared controls patients hfref hfpef generally older higher bmi showed greater prevalence comorbidities diabetes copd ckd echocardiographic analysis enhanced dl provided high coverage detailed insights cardiac function showing significant differences parameters left ventricular diameter ejection fraction myocardial strain among groups clinical outcomes highlighted higher risk hospitalization mortality hf patients compared controls particularly elevated risk ratios hfref hfpef groups concordance algorithmic selection patients manual validation demonstrated high accuracy supporting effectiveness approach identifying classifying hf subtypes could significantly impact future hf diagnosis management strategies study highlights feasibility combining keyword searches ehr dl automated echocardiographic interpretation biobank resources identify hf subtypes