International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software

International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software - International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000061810

Enrollment

80000

Registered

2026-06-05

Start date

2026-04-01

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

In-hospital cardiac arrest

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All adult patients admitted during the study period

Exclusion criteria

Exclusion criteria: Pediatric patients

Design outcomes

Primary

Measure	Time frame
Survival at discharge	—

Countries

Japan,Asia(except Japan),North America

Contacts

Public ContactTakeru Abe

Yokohama City Unviersity School of Medicine

takeru-a@umin.ac.jp045-261-5656

Outcome results