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Application of artificial intelligence pattern recognition based on resting state functional magnetic resonance imaging in prognosis prediction of comatose patients

Application of artificial intelligence pattern recognition based on resting state functional magnetic resonance imaging in prognosis prediction of comatose patients

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036323
Enrollment
Unknown
Registered
2020-08-22
Start date
2020-09-01
Completion date
Unknown
Last updated
2020-09-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Organic nerve injury

Interventions

Gold Standard:Clinical outcome
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model

Sponsors

The Tenth People's Hospital Affiliated to Tongji University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1) Neurosurgical patients with GCS =18 years old; 4) Right handed patients; 5) Patients with metal implants or shunt tubes.

Exclusion criteria

Exclusion criteria: 1) Patients with severe mental illness or non organic brain injury (such as epilepsy); 2) Patients with coma caused by cardiovascular disease; 3) Drug induced coma; 4) Patients with severe systemic diseases.

Design outcomes

Primary

MeasureTime frame
GOS;

Countries

China

Contacts

Public ContactCHEN Xian-Zhen

The Tenth People's Hospital Affiliated to Tongji University

chenxianzheny@126.com+86 13901793331

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026