Investigation of clinical application of an AI program to predict left ventricular systolic dysfunction from ECG

Investigation of clinical application of an AI program to predict left ventricular systolic dysfunction from ECG - Investigation of clinical application of an AI program to predict left ventricular systolic dysfunction from ECG

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000050501

Enrollment

600

Registered

2023-04-01

Start date

2023-04-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Cardiovascular disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Of the cases in which echocardiography was performed or read by the relevant department at the participating institution from the date of approval through December 2023, those cases in which an electrocardiogram was performed in the 14 days prior to the echocardiography.

Exclusion criteria

Exclusion criteria: Patients under 18 years of age, post-implantation permanent pacemaker, post-implantation implantable cardioverter defibrillator, post-implantation cardiac resynchronization therapy device, and patients who are unable to provide consent or who have opted out and been denied.

Design outcomes

Primary

Measure	Time frame
Sensitivity and specificity of the AI analysis program to detect the presence of reduced left ventricular ejection fraction	—

Countries

Japan

Contacts

Public ContactSatoshi Kodera

The University of Tokyo Hospital Department of Cardiovascular Medicine

koderasatoshi@gmail.com03-3815-5411

Outcome results