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The Effectiveness and Safety of Artificial Intelligence(AI)-Assisted Medical Treatment Decision Support System Compared to Conventional Care in HFrEF Patients

NCT07380555 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1200

Last updated 2026-02-02

No results posted yet for this study

Summary

This clinical trial aims to find out if using an artificial intelligence (AI) decision support system can help doctors better manage medications for people with heart failure with reduced ejection fraction (HFrEF). The main goal is to see if this approach can lower the chance of patients being hospitalized for heart failure or dying from heart-related causes compared to standard care.

About 1,200 participants from 60 hospitals will take part in this study. The hospitals, not the individual patients, are randomly assigned to one of two groups:

AI-Guided Group: Doctors at these hospitals will receive medication recommendations from an AI system based on patient health data.

Standard Care Group: Doctors at these hospitals will manage medications as they normally would, without AI assistance.

All participants will have regular check-ups, both remotely every 30 days and in-person at 3, 6, and 12 months. The study will last about 12 months for each participant.

Conditions

  • Heart Failure With Reduced Ejection Fraction (HF-rEF)

Interventions

DEVICE

artificial intelligence (AI) decision support system

According to the data uploaded by patients, drug treatment plan were generated based on a prespecified AI-assisted decision-making system, which were reviewed by researchers and sent to patients

Sponsors & Collaborators

  • Shanghai Zhongshan Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
QUADRUPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-30
Primary Completion
2027-12-31
Completion
2027-12-31

Countries

  • China

Study Locations

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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 NCT07380555 on ClinicalTrials.gov