AI Cure is a research tool showing open data. Not medical advice. Discuss with your doctor. Terms
Abstract Purpose: Atrial fibrillation (AF) is a leading cause of stroke and heart failure, yet detection remains suboptimal in rural settings due to limited resources. This study evaluates whether an enhanced screening strategy using artificial intelligence (AI)-integrated 7-day single-lead electrocardiogram (ECG) patches improves AF detection and long-term clinical outcomes compared to routine care in rural China. Methods: This cluster-randomized trial will be conducted across 128 village clinics in Quzhou, Zhejiang Province. Villages are randomized 1:1 to either enhanced or routine screening. Participants aged 60 years or older (approximately 120 per village) in both arms receive family-centered AF education and opportunistic assessments. The enhanced group undergoes screening via 7-day single-lead ECG patches, while the routine group utilizes standard 12-lead ECGs. Results: The tria
Sign in to get the eligibility rules as simple questions to take to your doctor.
AI Cure shows public evidence (Open Targets, ClinicalTrials.gov, PubMed, openFDA, DepMap, AlphaFold) with its source, and AI summaries that cite it โ not medical advice and not a cure. Treatment decisions belong with your doctor. Research ideas are shared only with approved researchers and labs, who can test them. In an emergency call your local emergency number (112 in India and Europe, 911 in the US). AI Cure Terms of Use ยท Privacy