The Accuracy of Artificial Intelligence (AI) in Diagnosing Arrhythmia

The Accuracy of Artificial Intelligence (AI) in Diagnosing Arrhythmia - The Accuracy of Artificial Intelligence (AI) in Diagnosing Arrhythmia

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000050504

Enrollment

400

Registered

2023-04-01

Start date

2022-10-14

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Patients with an implanted Medtronic device (PM, ICD, CRT-P, CRT-D) who are being followed by remote monitoring.

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients on remote monitoring rigs with implanted Medtronic PMs, ICDs, CRTDs, and CRTPs.

Exclusion criteria

Exclusion criteria: Other than above

Design outcomes

Primary

Measure	Time frame
Examine the degree of precision, recall, accuracy, and F-score rate of AI diagnosis for arrhythmias.	—

Countries

Japan

Contacts

Public ContactNobuhiro Nishii

Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Department of Cardiovascular Therapeutics

nnishii@md.okayama-u.ac.jp0862357351

Outcome results