MedTrace Logo

Atrial Fibrillation Detecting Software Gung Atrial Fibrillation Detecting Software

NCT05872516 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 788

Last updated 2023-05-24

No results posted yet for this study

Summary

Chang Gung Atrial Fibrillation Detection Software is an artificial intelligence electrocardiogram signal analysis software that detects whether a patient has atrial fibrillation by static 12-lead ECG signals. This study is a non-inferiority test based on the control group. The main purpose is to verify whether Chang Gung atrial fibrillation detection software can correctly identify atrial fibrillation in patients with atrial fibrillation, and can be used to provide a reference for doctors to detect atrial fibrillation.

Conditions

Interventions

DEVICE

Chang Gung Atrial Fibrillation Detecting Software

This software is expected to be used in clinical testing to interpret the static 12-lead ECG of adults who are over 20 years old and suspected of having atrial fibrillation, detect whether there is a signal of atrial fibrillation, and output the results for clinicians Near-instant auxiliary diagnostic use.

Sponsors & Collaborators

  • Chang Gung Memorial Hospital

    lead OTHER

Principal Investigators

  • Chang-Fu Kuo, MD/Ph.D · Associate Professor and Director Division of Rheumatology

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
20 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-11
Primary Completion
2023-02-08
Completion
2023-04-10

Countries

  • Taiwan

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05872516 on ClinicalTrials.gov