Using AI to predict multi-system diseases through ECG analysis
Official title: Early ECG Prediction of Multi-system Disease Cohort Establishment and Follow Up
Run by RenJi Hospital · NCT06924580 · Data updated 2026-11-12
This study is testing whether using artificial intelligence with heart tests can help doctors better diagnose diseases that affect multiple parts of the body.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 500000 (estimated) |
| Sponsor | RenJi Hospital Academic / other |
| Locations | 1 site (Shanghai, Shanghai Municipality) |
| Status | Recruiting |
| Started | January 18, 2017 |
| Main results expected | December 30, 2026 |
| Study ends | December 30, 2026 |
| Registry record updated | April 11, 2025 |
| Trial ID | NCT06924580 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients who have undergone ECG examinations at the participating hospital and have relevant clinical data.
✕Probably not a fit
Patients who decline participation, have incomplete clinical data, or are pregnant may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter observational study investigates the effectiveness of artificial intelligence-enhanced electrocardiography (AI-ECG) in diagnosing multi-system diseases. By collecting data from various patient populations, including inpatients and outpatients, the study aims to develop ECG-based models for diagnosing and predicting a range of systemic conditions. The research focuses on understanding how ECG abnormalities correlate with diseases affecting multiple systems, such as endocrine and metabolic disorders, and aims to improve diagnostic accuracy and patient outcomes.
Why it matters
Potential benefit: If successful, this study could enhance early detection and management of multi-system diseases, leading to better patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI for ECG analysis, suggesting potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Patients who visited the study hospital. 2. Patients included should have both ECG data and discharge diagnosis codes (ICD-10) for inpatients and emergency patients. Exclusion Criteria: 1\. Patients who declined participation, cases with incomplete or missing clinical data, and pregnant individuals.
Where it's running
-
Ren Ji Hospital Afflited to School of Medicine, Shanghai Jiao Tong University
Shanghai, Shanghai Municipality, China Recruiting
Study contacts
- Study coordinator: Jun Pu, MD,PhD
- Email: pujun310@hotmail.com
- Phone: 86-21-68383477
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Enhanced DBT skills group for Borderline Personality Disorder
This study tests whether a 12-week DBT skills group helps reduce self-harm and suicidal behavior in people with borderline personality disorder better than a shorter 6-month program or usual care.
-
Improving Officer and Civilian Health
This project tests three macro-level approaches—an AI chat assistant for officers, digitized paperwork to reduce arrests for low-level offenses, and a new behavioral health response option—to see if they improve well-being for both officers and civilians in Tarrant County.
-
Digital heat-adaptation messages from your primary care provider to help prepare for heatwaves
This trial will test whether tailored digital messages sent by your family doctor or nurse practitioner help adult patients in Eastern Ontario change behaviors to protect themselves during heatwaves.
-
Evaluating an AI-generated health podcast on gum health
This study tests whether an AI-generated podcast about gum health can help both the general public and healthcare experts understand and value dental care better.
-
Improving pediatric injury care in Tanzania
This study is testing a new program to improve how injured children are cared for in Tanzania by making sure they get the right help faster.
-
Research training for medical students on public health issues in Quebec
This study is testing how well third-year medical students can learn about public health by conducting phone interviews with people diagnosed with COVID-19 in Quebec.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.