FindTrial
Sign In

Acute Myocardial Infarction Prediction Using Artificial Intelligence Applied to Electrocardiogram Images

Acute Myocardial Infarction Prediction Using Artificial Intelligence Applied to Electrocardiogram Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600118370
Enrollment
Unknown
Registered
2026-02-04
Start date
2026-02-04
Completion date
Unknown
Last updated
2026-02-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary artery disease

Interventions

Case group:None

Sponsors

Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Hospitalized in the cardiology department and complete the detection of myocardial injury markers (troponin T/I); 2.The population that has received in-hospital treatment and completed electrocardiogram testing;

Exclusion criteria

Exclusion criteria: 1.The first ECG was presented in the emergency department. 2.ACS was diagnosed within one month after the first ECG collection.

Design outcomes

Primary

MeasureTime frame
Acute myocardial infarction;Receiver operating characteristic - area under the curve, ROC-AUC;—

Countries

China

Contacts

Public ContactHuiying Liang

Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)

lianghuiying@gdph.org.cn+86 20 8382 7812

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 15, 2026