Artificial Intelligence-Enhanced Management for Coronary Heart Disease (AIM-CHD) : Impact on Cholesterol and Other CHD Risk Factors

Last updated: September 18, 2025
Sponsor: China National Center for Cardiovascular Diseases
Overall Status: Completed

Phase

N/A

Condition

Thrombosis

Vascular Diseases

Chest Pain

Treatment

Usual post-discharge care

AIM-CHD Mobile Health Intervention

Clinical Study ID

NCT06686056
2024-GSP-GG-4
  • Ages 18-85
  • All Genders

Study Summary

The goal of this clinical trial is to find out if an artificial intelligence (AI)-enhanced mobile app can help people with coronary heart disease (CHD) better manage their health after being discharged from the hospital. The main questions it aims to answer are:

  1. Does the AI-enhanced app help lower bad cholesterol (LDL-C) levels within 3 months after leaving the hospital?

  2. Does the app improve other health measures, like blood pressure, blood sugar control, weight, medication adherence and cardiac events?

Researchers will compare the AI-enhanced app to usual care, where participants receive usual health advice without using the app.

Participants will:

  1. Be randomly assigned to use either the AI-enhanced app or receive usual care.

  2. Use the app to track and manage their health, receive reminders, and get educational tips.

  3. Attend checkups at 3 months to measure cholesterol levels and other health outcomes.

The study hopes to show that using an AI-enhanced app can make it easier for people with CHD to stay healthy and avoid future heart problems.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • CHD patients aged 18-85 years

  • ability of the patient or close relatives to use smartphones and applications

  • willingness to participate and sign the informed consent form

Exclusion

Exclusion Criteria:

  • severe cognitive impairment

  • advanced malignant tumors

  • expected survival of less than 3 months

  • severe multi-organ failure

  • refusal to sign the informed consent form

Study Design

Total Participants: 1100
Treatment Group(s): 2
Primary Treatment: Usual post-discharge care
Phase:
Study Start date:
November 23, 2024
Estimated Completion Date:
June 30, 2025

Study Description

The AIM-CHD app was developed by a diverse team at Fuwai Hospital, including doctors, nurses, patients, and software engineers. It gathers information from synchronized hospital records, questionnaires, intelligent voice follow-ups, and wearable devices. Using this data, it categorizes patients by risk level, detects unmanaged risk factors, and generates individualized follow-up schedules and intervention plans. When risk factors are not well controlled, the app alerts patients to these issues. It also reminds users to monitor their health markers regularly, follow prescribed medication routines, and offers personalized health education focused on lifestyle adjustments. The app can assess the severity of blood pressure, heart rate, blood glucose, and lipid levels, advising patients to seek in-person consultations if necessary. AIM-CHD also recognizes emergency scenarios and provides options for online consultations or immediate help from Fuwai Hospital to prevent treatment delays. The platform leverages artificial intelligence (AI) for efficient lab report image recognition and speech-to-text conversion, streamlining follow-up care. Additionally, it offers customized patient education. The AIM-CHD's intervention goals and strategies are grounded in the latest clinical guidelines. The system is built with a front-end and back-end separation architecture: the back-end is developed with the .NET framework using C#, while the front-end is a WeChat mini-program created with JavaScript and React.

Connect with a study center

  • Fuwai Hospital, Chinese Academy of Medical Sciences/National Center for Cardiovascular Diseases

    Beijing, Beijing 100037
    China

    Site Not Available

  • Fuwai Hospital, Chinese Academy of Medical Sciences/National Center for Cardiovascular Diseases

    Beijing 1816670, Beijing Municipality 2038349 100037
    China

    Site Not Available

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