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UnknownArtificial intelligence-based mining of electronic health record data to accelerate the digital transformation of the national cardiovascular ecosystem: design protocol of the CardioMining study.

Introduction

Mining of electronic health record (EHRs) data is increasingly being implemented all over the world but mainly focuses on structured data. The capabilities of artificial intelligence (AI) could reverse the underusage of unstructured EHR data and enhance the quality of medical re...
S-EPMC10083759 | biostudies-literature
UnknownComparison of Contemporary Risk Scores in All Groups of Pulmonary Hypertension: A Pulmonary Vascular Research Institute GoDeep Meta-Registry Analysis.

Background

Pulmonary hypertension (PH) is a heterogeneous disease with a poor prognosis. Accurate risk stratification is essential for guiding treatment decisions in pulmonary arterial hypertension (PAH). Although various risk models have been developed for PAH, their comparative prognostic ...
S-EPMC11443244 | biostudies-literature
UnknownClinical Outcomes and Response to Vericiguat According to Index Heart Failure Event: Insights From the VICTORIA Trial.

Importance

The period following heart failure hospitalization (HFH) is a vulnerable time with high rates of death or recurrent HFH.

Objective

To evaluate clinical characteristics, outcomes, and treatment response to vericiguat according to prespecified index event subgroups and time f...
S-EPMC7666431 | biostudies-literature
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