Diagnostic performance of FALSE-STEMI prediction score and artificial intelligence based ECG interpretation in detecting acute ST segment elevation myocardial infarction

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20250124001

Enrollment

1058

Registered

2025-01-24

Start date

2025-02-01

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

ST segment elevation myocardial infarction patient ST segment elevation myocardial infarction False-positive STEMI diagnosis False-STEMI prediction score

Interventions

Patients suspected of ST segment elevation myocardial infarction who were consulted through the eCardio application at Maharaj Nakorn Chiang Mai Hospital from 1 January 2020 to 31 December 2024.

Diagnostic

STEMI patient

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients aged more than 18 years 2. Patients with suspected of acute STEMI and consulted through the eCardio mobile application from January 1, 2020, to December 31, 2024.

Exclusion criteria

Exclusion criteria: 1. Absence of ECG data in the eCardio application. 2. Absence of clinical presentation data in the eCardio application

Design outcomes

Primary

Measure	Time frame
Diagnostic performance 1 day Number of false STEMI positive patient between AI-based ECG interpretation tool and FALSE-STEMI prediction score	—

Secondary

Measure	Time frame
Prevalence of false-positive diagnoses of STEMI 1 day Number of false STEMI positive patient	—

Countries

Thailand

Contacts

Public ContactApiradee Chonwattanakin

Faculty of Medicine, Chiang Mai University

aumaim.apiradee@gmail.com053936793

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 10, 2026