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Development of imaging diagnosis system for emergency patients by artificial intelligence

Development of imaging diagnosis system for emergency patients by artificial intelligence - Development of imaging diagnosis system

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000030427
Enrollment
80000
Registered
2017-12-18
Start date
2018-01-01
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

Emergency diseases and injuries

Interventions

None listed

Sponsors

Tohoku University
Lead Sponsor
Hokkaido University Graduate School of Medicine Diverta Inc.
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All the patients whose CT data are preserved in the server

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Sensitivity and specificity of imaging diagnosis—

Countries

Japan

Contacts

Public ContactDaisuke Kudo

Tohoku University Graduate School of Medicine Emergency and Critical Care Medicine

kudodaisuke@med.tohoku.ac.jp022-717-7489

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026