Using AI to predict multi-system diseases through ECG analysis
Early ECG Prediction of Multi-system Disease Cohort Establishment and Follow Up
RenJi Hospital · NCT06924580
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 |
|---|---|
| Enrollment | 500000 (estimated) |
| Sex | All |
| Sponsor | RenJi Hospital (other) |
| Locations | 1 site (Shanghai, Shanghai Municipality) |
| Trial ID | NCT06924580 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates include patients who have undergone ECG examinations at the participating hospital and have relevant clinical data.
Not a fit: Patients who decline participation, have incomplete clinical data, or are pregnant may not benefit from this study.
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 performed: Other studies have shown promise in using AI for ECG analysis, suggesting potential success for this novel approach.
Eligibility criteria
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 this trial is running
Shanghai, Shanghai Municipality
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Public Health, Public Health System Research, Multi-system Disease Diagnosis