Featured conditions Brain tumor, breast cancer, colon cancer, congenital heart disease, heart arrhythmia. See more conditions.
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Results filtered:Study status: Open Closed for Enrollment
The objective of this study is to evaluate ECG based AI predictions for clinical pathologies across ECG device types. The ECG is a test that records your heart’s rhythm. The goal is to evaluate the impact of ECG device type on AI-based heart disease predictions.
The purpose of this study is to evaluate the impact of bromocriptine on myocardial recovery and clinical outcomes in women newly diagnosed with peripartum cardiomyopathy within 5 months postpartum. Given that bromocriptine prevents breastfeeding, women with peripartum cardiomyopathy will be excluded from the trial due to a desire to continue breastfeeding but meeting all other entry criteria will be followed in an observational cohort.
The overarching goal is to provide a means to evaluate cardiac allograft rejection non-invasively and remotely. This can be used to identify and prioritize patients that need to visit Mayo Clinic frequently following a heart transplant based on the likelihood of cardiac allograft rejection.
The overall goal of this study is to investigate the use of artificial intelligence (AI) techniques as a screening tool for cardiomyopathies in pregnancy and the post-partum period.
The purpose of this studyis to determine the effectiveness of an AI-enabled ECG to detect cardiomyopathy and its impact on clinical outcomes in a predominantly Black obstetric population in Nigeria