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Study on the Performance of a Machine Learning Algorithm Recognizing and Triaging Large Vessel Occlusions Using Non-contrast CT Scans

NCT06216457 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2024-05-29

No results posted yet for this study

Summary

The goal of this prospective observational study is to assess the effectiveness and performance of Methinks AI stroke imaging software platform in acute Code Stroke patients, and as a comparator to study sites utilizing existing AI imaging stroke platforms.

The main question\[s\] it aims to answer is:

• Performance of and outcomes associated with the use of the Methinks AI stroke imaging medical device in real-world clinical practice.

Conditions

  • Stroke, Ischemic
  • Stroke Hemorrhagic
  • Stroke, Acute
  • Brain Ischemia

Interventions

DEVICE

AI software for Stroke

AI Software for Non-Contrast Head CT (Computed Tomography) and CT Angiography, utilized for Code Stroke screening, notification and triage.

Sponsors & Collaborators

  • Santiago Ortega- global PI

    collaborator UNKNOWN

  • Methinks Software SL

    lead INDUSTRY

Eligibility

Min Age
22 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-01
Primary Completion
2024-07-30
Completion
2024-10-31
FDA Device
Yes

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06216457 on ClinicalTrials.gov