Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application

February 19, 2025 updated by: Children's Hospital of Fudan University

The Studies of Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application

The limb deformity in children include congenital limb malformations or acquired from the damage of epiphyseal plate which caused by tumor, inflammation and trauma. Due to the complexity of the disease itself, rapid dynamic development and the characteristics of children's growth and development, the deformities are constantly changing. In addition, the serious lack of clinical diagnosis and treatment resources in the Department of Pediatric Orthopedics has led to the misdiagnosis and improper treatment of children's limb deformities. Thus, its necessary to find an intelligent way to help doctor to early diagnosis of limb deformity and provide a proper treatment in children.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

The extraction and application of big data of children's limb deformities, intelligent labeling of image data, precise positioning, and perfecting the anatomical data of children's limb deformities.Improve the positioning accuracy of key points in X-ray images of children's limb deformities by means of step-by-step supervision to improve the accuracy of diagnosis.Realize an intelligent report generation system that combines patient background information, establish an end-to-end auxiliary diagnosis and treatment suggestion demonstration application system; realize a full set of artificial intelligence solutions for children's skeletal deformities, early screening and diagnosis of children, and forming an intelligent referral system of children's limb deformities.

Study Type

Observational

Enrollment (Estimated)

9000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Children with limb deformity

Description

Inclusion Criteria:

Children with limb deformity

Exclusion Criteria:

Children without limb deformity

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
limb deformity children
the imaging of limb deformity diagnosis by AI
Other: No interventions
It is an observational study. No interventions.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Deformity detection
Time Frame: At enrollment
It is a binary variable (1/0). The radiographic features of children would be evaluated by artificial Intelligence. If the deformity was detected, variable would be setted into 1.
At enrollment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Children's Hospital of Fudan University

Investigators

  • Principal Investigator: Bo Ning, PhD, Children's Hospital of Fudan University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 1, 2025

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

December 1, 2027

Study Registration Dates

First Submitted

August 22, 2020

First Submitted That Met QC Criteria

August 22, 2020

First Posted (Actual)

August 26, 2020

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 19, 2025

Last Verified

February 1, 2025

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • ningbo1528

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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