Using ECGs to improve health outcomes for patients on dialysis

Deep learning on ECGs to improve outcomes in patients on dialysis

NIH-funded research Icahn School of Medicine at Mount Sinai · NIH-11091572

This study is looking to help people on dialysis by using heart scans and smart computer techniques to predict and prevent serious health issues during their treatment, and it will involve patients from dialysis centers in New York City.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionIcahn School of Medicine at Mount Sinai NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-11091572 on NIH RePORTER

What this research studies

This research focuses on improving the health outcomes of patients undergoing maintenance hemodialysis by utilizing electrocardiograms (ECGs) and advanced deep learning techniques. The study aims to develop accurate predictive models to identify risks of intradialytic hypotension and major adverse cardiovascular events, which are common complications in this patient population. By analyzing ECG waveform data, the research seeks to provide actionable insights that can lead to better-targeted interventions and ultimately enhance patient care. The study will involve recruiting a diverse group of patients from dialysis units in New York City to validate these predictive models.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients who are currently undergoing maintenance hemodialysis and are at risk for cardiovascular complications.

Not a fit: Patients who are not on dialysis or those with stable cardiovascular health may not receive any benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved monitoring and management of cardiovascular risks in patients on dialysis, potentially reducing morbidity and mortality.

How similar studies have performed: Previous research has shown promise in using deep learning with ECG data for predicting cardiac outcomes, indicating that this approach has potential for success.

Where this research is happening

New York, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cardiac Diseases
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.