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Using Artificial Intelligence to Detect Brain Bleeding on CT Scans

Automated detection of brain hemorrhage using AI powere CT image analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/04/107457
Enrollment
150
Registered
2026-04-02
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Health Condition 1: - Health Condition 2: I619- Nontraumatic intracerebral hemorrhage, unspecified

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

SAVEETHA MEDICAL COLLEGE AND HOSPITAL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients undergoing non contrast CT brain for suspected intracranial pathology. Both patients with confirmed intracranial hemorrhage and normal CT brain scans will be included. Only scans with adequate image quality will be considered. Ground truth diagnosis will be established by experienced radiologists.

Exclusion criteria

Exclusion criteria: CT brain scans with significant motion artifacts or poor image quality. Post operative scans with surgical changes causing distortion. Patients with incomplete imaging data. Cases with uncertain diagnosis or inadequate clinical correlation.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy of the artificial intelligence model in detecting nontraumatic intracerebral hemorrhage on CT brain images, assessed at baseline (time of imaging).Timepoint: Baseline (at the time of CT image acquisition)

Secondary

MeasureTime frame
NILTimepoint: NIL

Countries

India

Contacts

Public ContactDR GARRE GOWTHAM SAI

saveetha medical college

gowthams700@gmail.com7989206270

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026