AI as a second opinion: could a chatbot improve chronic disease care?

NCT ID NCT07740044

Not yet recruiting Knowledge-focused Sponsor: Jiangsu Taizhou People's Hospital Source: ClinicalTrials.gov ↗

First seen Jul 31, 2026 · Last updated Jul 31, 2026

Summary

This trial tests whether a medical artificial intelligence (AI) tool can assist primary care doctors in managing chronic conditions like heart disease, atrial fibrillation, heart failure, and stroke. Doctors in the intervention group use the AI to help make decisions about assessments, tests, treatments, and patient education. Experts then blindly compare these AI-assisted plans against standard care plans to see if the AI improves quality. The goal is to explore whether AI could be a useful support tool in community health settings.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Medical large language model (AI software)
What this could lead to: If successful, this could show that AI tools help primary care doctors make better decisions for managing chronic conditions, potentially improving care in community settings.
What could go wrong: This is a small, early-stage study with only 20 doctors, and it measures expert ratings rather than real patient outcomes. The AI may not perform as well in real-world practice or across different populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

atrial fibrillation coronary artery disorder heart failure stroke disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ATRIAL FIBRILLATION (AF) CORONARY ARTERY DISEASE HEART FAILURE STROKE

Contacts and locations

Locations

The Affiliated Taizhou People's Hospital of Nanjing Medical University

Taizhou, Jiangsu, 225300, China

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