# Noncontrast CT-Based Deep Learning for Predicting Hematoma Expansion Risk in Patients with Spontaneous Intracerebral Hemorrhage

> **NCT06602115** · — · NOT_YET_RECRUITING · sponsor: **Qiang Yu** · enrollment: 2000 (estimated)

## Conditions studied

- Spontaneous Intracerebral Hemorrhage
- Hematoma Expansion

## Interventions

- **OTHER:** Observational study, no interventions involved

## Key facts

- **NCT ID:** NCT06602115
- **Lead sponsor:** Qiang Yu
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2024-09-25
- **Primary completion:** 2024-10
- **Final completion:** 2024-12
- **Target enrollment:** 2000 (ESTIMATED)
- **Last updated:** 2024-09-19

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06602115

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06602115, "Noncontrast CT-Based Deep Learning for Predicting Hematoma Expansion Risk in Patients with Spontaneous Intracerebral Hemorrhage". Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/clinical/NCT06602115. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*