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QOCA®-Image Medical Platform - Smart VCF Risk Management System

NCT04384211 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2020-10-08

No results posted yet for this study

Summary

This project aims to develop and validate an automatic detection and classification system for vertebral compression fractures on computer tomography (CT) images using an artificial intelligence (AI) system (named Smart Bone) by Quanta.

Conditions

  • Compression Fracture

Interventions

OTHER

Computer Assisted Detection Software For Vertebral Fractures

A device named Smart Bone that is using CT image retrospectively acquired to entails a second review of CT images with Vertebral Compression Fractures through an interactive AI program developed by Quanta Computer Inc. was applied to the CT images. The device is a computer-aided detection (CADe) software application and is designed to assist radiologists to analyze Spine CT images. The device uses deep learning methods to perform vertebrae detection and classification of images.

Sponsors & Collaborators

  • Quanta Computer Inc.

    collaborator UNKNOWN

  • Taipei Medical University WanFang Hospital

    lead OTHER

Principal Investigators

  • Wing P. Chan, M.D. · Taipei Medical University WanFang Hospital

Eligibility

Min Age
50 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-06-01
Primary Completion
2021-05-31
Completion
2021-05-31

Countries

  • Taiwan

Study Locations

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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 NCT04384211 on ClinicalTrials.gov