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Effects of AI Assisted Follow-up Strategy on Secondary Prevention in CABG Patients

NCT04636996 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2020-11-19

No results posted yet for this study

Summary

The present study is trying to find out whether artificial intelligence assisted follow-up strategy will improve secondary prevention in CABG patients. In addition, we will test whether rural patients may have more benefits under the new follow-up strategy based on the artificial intelligence device compared with urban patients.

Conditions

Interventions

OTHER

artificial intelligence assisted follow-up

We will use a new portable artificial intelligence assisted device to monitor the patients' postoperative heart rate and sleep quality, guiding the following follow-up process

Sponsors & Collaborators

  • Chinese Academy of Medical Sciences, Fuwai Hospital

    lead OTHER

Principal Investigators

  • Jia Shi, MD · National Center for Cardiovascular Disease, China

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
QUADRUPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2022-09-30
Completion
2022-12-31

Countries

  • China

Study Locations

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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 NCT04636996 on ClinicalTrials.gov