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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Interventional
• Planned participants: 1200
• From 30 Jan 2026 to the primary completion date, 31 Dec 2027
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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