AI Based Multi-modal Parameter of Peripheral Blood Cells (MMPBC) Predicts Survival Risk in Critically Ill Children

NCT06034639 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 3

Last updated 2023-09-13

No results posted yet for this study

Summary

This study aims to investigate whether an AI prediction model based on blood cell multi-modal data can achieve early warning of survival risk in critically ill children through a large-scale multi-center cohort of critically ill children.

Conditions

  • Children

Sponsors & Collaborators

  • Zhujiang Hospital

    lead OTHER

Eligibility

Min Age
1 Day
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-03-01
Primary Completion
2023-09-30
Completion
2023-09-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06034639 on ClinicalTrials.gov