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Validation of AI Lumbar Spine Anatomy Measureing Function

NCT06950411 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2025-04-30

No results posted yet for this study

Summary

Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly significant to enhance care efficiency and reduce medical personnel expenditure. Recently, due to the rapid development of artificial intelligence (AI) algorithm, AI-based computer-assisted detection (CADe) devices gradiually become a convenient method for spinal anatomy measurement. However, the accuracy of these devices has not been fully established. This study aims to validate the performance of RadiSpine (an application program) in spinal anatomy segmentation and measurement.

Conditions

  • Spinal Cord Compression

Sponsors & Collaborators

  • Taipei Veterans General Hospital, Taiwan

    collaborator OTHER_GOV

  • RadiRad Co., Ltd.

    lead INDUSTRY

Eligibility

Min Age
22 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-09-12
Primary Completion
2025-03-31
Completion
2025-03-31

Countries

  • Taiwan

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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 NCT06950411 on ClinicalTrials.gov