Early ECG Prediction of Multi-system Disease Cohort Establishment and Follow Up

Recruiting now

Conditions studied: Public Health, Public Health System Research, Multi-system Disease Diagnosis

In brief

This registered multicenter study aims to investigate the diagnostic efficacy of artificial intelligence-enhanced electrocardiography (AI-ECG) in detecting multi-system diseases. The research will utilize prospectively collected data from inpatient, emergency, and outpatient populations to develop ECG-based diagnostic, screening, and predictive models for multi-system diseases.

Key facts

Study ID

NCT06924580

Run by

RenJi Hospital

People needed

500000

Starts

2017-01-18

Expected to finish

2026-12-30

Last updated by the study team

2025-04-11

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Patients who visited the study hospital.
• Patients included should have both ECG data and discharge diagnosis codes (ICD-10) for inpatients and emergency patients.

You may not qualify if…

• Patients who declined participation, cases with incomplete or missing clinical data, and pregnant individuals.

Where it is running

• Ren Ji Hospital Afflited to School of Medicine, Shanghai Jiao Tong University — Shanghai, Shanghai Municipality, China (enrolling)

Full record on ClinicalTrials.gov

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