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
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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