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Retrospective and prospective Coronary Imaging Registry for artificial intelligence algorithm training

Retrospective and prospective Coronary Imaging Registry for artificial intelligence algorithm training

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0006162
Enrollment
100
Registered
2021-05-24
Start date
2021-04-01
Completion date
Unknown
Last updated
2021-06-24

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

Conditions

None listed

Interventions

None listed

Sponsors

Yonsei University Health System, Yongin Severance Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: After CT angiography, cardiography was actually performed and FFR was performed in patients with 50 to 90% stenosis of the coronary artery.

Exclusion criteria

Exclusion criteria: - Female of childbearing potential, who possibly plans to become pregnant any time after enrollment into this study. - Pregnancy - Patients who are not appropriate for this study

Design outcomes

Primary

MeasureTime frame
Machine learning algorithm FFR value for coronal CT lesion—

Countries

Korea, Republic of

Contacts

Public ContactKim YongCheol

Yonsei University Health System, Yongin Severance Hospital

yongcheol@yuhs.ac+82-31-5189-8967

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026