The ALERT-Pilot Study

November 13, 2017 updated by: Ya-Wei Xu, Shanghai 10th People's Hospital

Automatic Diagnosis of ST-segment Elevated Myocardial Infarction by Artificial Intelligence-based Electrocardiographic System:The ALERT-Pilot Study

the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram was established. The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

2000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Shanghai
      • Shanghai, Shanghai, China, 200072
        • Recruiting
        • Shanghai Tenth People's Hospital
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

ST segment Elevation Myocardial Infarction patients' diagnosis was confired by coronary artery angiography. The prior surgery electrocardiogram need to be collected.

Description

Inclusion Criteria:

  1. age≥18 years old;
  2. the admitting doctor's diagnosis is ST-segment Elevation Myocardial Infarction.

Exclusion Criteria:

  1. the admitting diagnosis is non-ST-segment Elevation Myocardial Infarction.
  2. default data;
  3. pregnancy, mental disorder, kidney failure;
  4. except for criteria mention above, including some improper condition considered by investigators.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
ST segment Elevation Myocardial Infarction
ST segment Elevation Myocardial Infarction patients' diagnosis was confirmed by coronary artery angiography. The prior surgery electrocardiogram need to be collected.
Diagnostic test: electrocardiogram diagnosed by artificial intelligence
According to coronary angiogram results, the accuracy of STEMI patients' electrocardiogram diagnosis by artificial intelligence was evaluated.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram
Time Frame: 24 hours
All the electrocardiograms done before coronary arteriography were read by artificial intelligent. Then according to results of coronary angiogram, artificial intelligent can establish a algorithm of to diagnose myocardial infarction.
24 hours
The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular
Time Frame: 24 hours
The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.
24 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Shanghai 10th People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 20, 2017

Primary Completion (Anticipated)

October 15, 2018

Study Completion (Anticipated)

November 1, 2018

Study Registration Dates

First Submitted

October 12, 2017

First Submitted That Met QC Criteria

October 17, 2017

First Posted (Actual)

October 23, 2017

Study Record Updates

Last Update Posted (Actual)

November 14, 2017

Last Update Submitted That Met QC Criteria

November 13, 2017

Last Verified

October 1, 2017

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2017YFC0111800

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Artificial Intelligence

Clinical Trials on electrocardiogram diagnosed by artificial intelligence

Search Similar Trials

Sponsors and Collaborators

Medical Conditions

Drug Interventions

CROs by country

CROs in Denmark

Conditions

Rare Diseases

Drug Interventions

Dietary Supplements

Sponsor/Collaborators

Locations

Subscribe