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AI-guided AF Treatment

NCT07069998 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2025-07-17

No results posted yet for this study

Summary

Two-centre, prospective, randomized, open-label, controlled pilot study to examine whether integrating an artificial intelligence virtual assistant (VA), instructed with the latest international guidelines on optimal patient management into the outpatient management of patients diagnosed with atrial fibrillation (AF) in the last 6 months, is feasible, acceptable and effective in reducing the need for regular medical assessment and the healthcare burden, reduce variability, and meets with participant satisfaction, without compromising participant safety and overall care quality.

Conditions

  • Atrial Fibrillation (AF)

Interventions

OTHER

virtual assistant

Programming codes that interpret atrial fibrillation symptoms and design management plans based on algorithms that reflect the European Society of Cardiology (ESC) 2024 guidelines and the expertise of consultant cardiologists, finally checked and approved by a cardiologist.

OTHER

Standard AF care

AF care provided via the National Health System (NHS) standard AF care system

Sponsors & Collaborators

  • East and North Hertfordshire NHS Trust

    lead OTHER_GOV

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-15
Primary Completion
2028-05-26
Completion
2028-05-26

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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 NCT07069998 on ClinicalTrials.gov