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Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis

NCT03773458 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 500

Last updated 2018-12-12

No results posted yet for this study

Summary

Traditional school scoliosis screening approaches remains debatable due to unnecessary referal and excessive cost. Deep learning algorithms have proven to be powerful tools for the detection of multiple diseases; however, the application of such methods in scoliosis screening requires further assessment and validation. Here, the investigators develop an artificial system for the automated screening of scoliosis using disrobed back images, and conduct clinical trial to validate if the diagnostic system can offsetting the shortcomings of human doctors.

Conditions

  • Orthopedic Disorder of Spine
  • Artificial Intelligence
  • Scoliosis

Interventions

DEVICE

An artificial system for the screening of scoliosis

An artificial intelligence to make evaluation of scoliosis using back images

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Haotian Lin · Zhongshan Ophthalmic Center, Sun Yat-sen University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
10 Years
Max Age
22 Years
Sex
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-06-01
Primary Completion
2018-07-30
Completion
2018-07-30

Countries

  • China

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 NCT03773458 on ClinicalTrials.gov