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Clinical Trials/NL-OMON56279
NL-OMON56279
Not yet recruiting
Not Applicable

Machine Learning and Artificial Intelligence for Early Detection of Stroke and Atrial Fibrillation - MAESTRIA-AFNET 10

Kompetenznetz Vorhofflimmern e.V./Atrial Fibrillation NETwork (AFNET)0 sites150 target enrollmentTBD

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Not specified
Sponsor
Kompetenznetz Vorhofflimmern e.V./Atrial Fibrillation NETwork (AFNET)
Enrollment
150
Status
Not yet recruiting
Last Updated
2 years ago

Overview

Brief Summary

No summary available.

Registry
who.int
Start Date
TBD
End Date
TBD
Last Updated
2 years ago
Study Type
Observational non invasive

Investigators

Sponsor
Kompetenznetz Vorhofflimmern e.V./Atrial Fibrillation NETwork (AFNET)

Eligibility Criteria

Inclusion Criteria

  • 1\. Patients with paroxysmal AF (clinically defined as AF episodes less than one
  • patients with persistent AF (clinically defined as AF episodes longer than one
  • or patients with permanent AF (no documented sinus rhythm or possibility to
  • restore sinus rhythm by any means).
  • 2\. Patient (or legally acceptable representative if applicable) provides
  • written Informed Consent to participate in the study. The patient has the
  • option to give separate consent to donate extra volume of blood during routine
  • blood collection, that can be used for biomedical research.
  • 3\. Patient is at least 18 years of age.
  • 4\. Patient must own a Smartphone with Apple iOS Version 14\.5 (or higher) or

Exclusion Criteria

  • 1\. Any disease that limits life expectancy to less than 1 year.
  • 2\. All persons unable to provide informed consent.
  • 3\. All persons exempt from participation in a study or trial by law.
  • 4\. Any medical or psychiatric condition which, in the Investigator\*s opinion,
  • would preclude the participant from adhering to the protocol or completing the
  • study per protocol.

Outcomes

Primary Outcomes

Not specified

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