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Heart FailureOctober 2024Summary reviewed May 2026

An AI-Powered Stethoscope Detected Heart Problems 2.1 Times Better Than Standard Care

This 1,232-person trial in Nigeria tested whether an AI-guided digital stethoscope could detect peripartum cardiomyopathy. The AI tool more than doubled detection of left ventricular dysfunction compared with standard care.

What the trial was testing

The trial enrolled 1,232 patients with heart failure. The study was sponsored by Mayo Clinic and tracked outcomes across the full group of patients who matched the trial's eligibility profile.

Researchers followed patients through treatment and into recovery, tracking the outcomes that mattered most for the disease being studied.

What the results showed

2.1x higher detection of pregnancy-related heart pumping problems with AI screening.

Nature Medicine · 2024 · NCT05438576

These findings — that detection of left ventricular dysfunction with AI-guided screening vs. standard care — were published in the Nature Medicine and represent the headline result of the study.

Researchers tracked outcomes across 1,232 patients enrolled in the trial. The result was consistent enough across the group that the team felt confident reporting it.

What this means for patients

For patients with heart failure, this result changes the calculus on what to ask their care team about. Whether it changes day-to-day care depends on factors like disease subtype, prior treatments, and where the patient is in their care journey.

What you can do now

AI-enabled stethoscopes are increasingly available, especially in larger health systems. The technology is FDA-cleared for some applications. Ask your obstetrician or cardiologist about access if you have heart failure symptoms during or after pregnancy — early detection saves lives.

Eligibility for the treatments mentioned above depends on specific test results and clinical history. Bring this summary, the trial name, and your most recent labs or pathology report to your next visit.

Open heart failure trials

RecruitingLarge-scale testing

Effect at 3 Months of Early Empagliflozin Initiation in Cardiogenic Shock Patients on Mortality, Rehospitalization, Left Ventricular Ejection Fraction and Renal Function.

Long term prognosis of cardiogenic shock is related to the resolution of haemodynamic failure, associated visceral failure and the recovery of an adequate myocardial function. In the immediate aftermath of cardiogenic shock, after catecholamines weaning, there are no recommendations on cardiovascular treatments that would improve this long term prognosis. Indeed, the standard cardiovascular treatments such as inhibitors of the renin-angiotensin and aldosterone system and beta-blockers have hypotensive and negative inotropic effects and may worsen the renal function. In practice, given their side effects, they are not prescribed in the immediate aftermath of cardiogenic shock. Sodium-glucose co-transporter 2 (iSGLT2) inhibitors are now an integral part of the drug management of chronic heart failure and the EMPULSE-HF trial has just demonstrated a benefit in acute heart failure (PMID: 35228754). Several pivotal clinical trials have demonstrated a significant effect of iSGLT2 on the survival and the risk of re hospitalisation for heart failure (PMID: 32865377, 31535829, 33200892). Our hypothesis is that, in patients in cardiogenic shock, early treatment with Empaglifozin in addition to the standard management could reduce mortality and morbidity (death, transplantation/LVAD and rehospitalisation for heart failure) and improve myocardial function at 12 weeks, compared with standard management alone.

Ars-Laquenexy, France +7 more
RecruitingInterventional study

Cohort Study of Chronic Heart Failure

The goal of this observational study is to learn about the influencing factors of chronic heart failure prognosis in heart failure patients. The main question it aims to answer is that what are the influencing factors of clinical outcomes in chronic heart failure. Participants will be collected multiple omics data such as phenotype group, environmental exposure group, intestinal microbiome, genome, metabolome, and noninvasive biomarkers.

Taizhou, Jiangsu, China