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Development of AI Tool to Detect large Brain Blood Clots (LVO) in patients undergone CT Angiography of the Brain.

AI vascular analytics for Large Vessel Occlusion (LVO) - LVO

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2026/02/104235
Enrollment
400
Registered
2026-02-18
Start date
Unknown
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

Health Condition 1: I630- Cerebral infarction due to thrombosis of precerebral arteries

Interventions

Intervention1: CT/ CT Angiography of Brain for AI Validation.: To develop and determine the accuracy, reliability, and feasibility of the prototype in a real-world clinical environment using data fro

Sponsors

Siemens Healthcare Pvt. Ltd.
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Head & Neck CT and CTAs done in the department of Radiology in Max Hospital Saket, available on PACS will be included in the study.

Exclusion criteria

Exclusion criteria: Cases which complete data is not available on PACS will be excluded. Datasets not meeting the technical requirements of the scanning protocol.

Design outcomes

Primary

MeasureTime frame
To improve the detection of LVO /MeVOs in the other parts of the brain and to detect the position of LVO in CTA Datasets.Timepoint: Baseline—

Secondary

MeasureTime frame
Vessel tree analysis for surgical planning, LVO Location and path planning to provide valuable information to the interventionistTimepoint: Baseline—

Countries

India

Contacts

Public ContactDr Rajesh Saxena

Max Super Speciality Hospital, Saket

saroj.kumar@maxhealthcare.com09999325464

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Mar 14, 2026