The use of artificial intelligence and mobile health technologies to identify patients at the highest risk of atrial fibrillation (irregular and often abnormally fast heart rate)
Not Applicable
Suspended
- Conditions
- Atrial fibrillation (AF)Circulatory System
- Registration Number
- ISRCTN17993837
- Lead Sponsor
- Chelsea and Westminster Hospital NHS Foundation Trust
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Suspended
- Sex
- All
- Target Recruitment
- 1800
Inclusion Criteria
Current inclusion criteria as of 29/11/2021:
1. Aged 18 years or above
2. Identified as high-risk for AF by our 'AF risk prediction machine learning algorithm
3. Access to smartphone depending on allocated screening group
_____
Previous inclusion criteria:
1. Aged 18 years old or above
2. Identified as high-risk for AF by our PULsE AI machine learning algorithm
3. Access to smartphone depending on allocated screening group
Exclusion Criteria
1. Have already a diagnosis of atrial fibrillation prior to study enrolment
2. Below the age of 18 years old
3. Presence of cardiac electronic implantable device
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Detection of atrial fibrillation with a one-off ECG
- Secondary Outcome Measures
Name Time Method There are no secondary outcome measures