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Exploratory Study of Apple Watch Electrocardiographic Diagnostic Performance Enhanced by an Artificial Intelligence Algorithm

NCT04792905 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2021-09-08

No results posted yet for this study

Summary

This observational exploratory prospective study will evaluate the performance on an Artificial Intelligence (AI) solution interpreting ECG (electrocardiogram) collected from an Apple Watch (AI-AW) in the detection of Atrial Fibrillation (AF)

Conditions

Interventions

DEVICE

Cardiologs

Two Apple Watch recordings (one recording with the watch on the wrist and one on the left side of the abdomen) interpreted by Cardiologs AI done simultaneously with each 12-lead ECG

Sponsors & Collaborators

  • Cardiologs Technologies

    lead INDUSTRY

Principal Investigators

  • Laurent Fiorina, Dr · Institut Cardiologique Paris Sud Hôpital Privé Jacques Cartier

Eligibility

Min Age
22 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-03-30
Primary Completion
2021-07-19
Completion
2021-07-19

Countries

  • France

Study Locations

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Entities

Diseases

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 NCT04792905 on ClinicalTrials.gov