Validation of the Utility of Rare Disease Intelligence Platform

April 21, 2016 updated by: Erping Long, Sun Yat-sen University

Validation of the Utility of Rare Disease Intelligence Platform: A Multicenter Cluster Clinical Trial

The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. The artificial intelligence for systematic clinical application has not yet been successfully validated. Currently, the main prevention strategy for rare diseases is to build specialized care centers. However, these centers are scattered, and their coverage is insufficient, resulting in inadequate health care among a large proportion of rare disease patients. Here, the investigators use "deep learning" to create CC-Cruiser, an intelligence agent involving three functional networks: "pick-up networks" for diagnostics, "evaluation networks" for risk stratification and "strategist networks" to provide assisted treatment decisions. The investigator also establish a cloud intelligence platform for multi-hospital collaboration and conduct clinical trial and website-based study to validate its versatility.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

53

Phase

  • Not Applicable

Contacts and Locations

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

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510060
        • Zhongshan Ophthalmic Center, Sun Yat-sen University
      • Guangzhou, Guangdong, China, 510080
        • Department of Ophthalmology, Guangdong General Hospital, Guangdong Academy of Medical Sciences
      • Guangzhou, Guangdong, China, 510405
        • Department of Ophthalmology, First Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine
      • Qingyuan, Guangdong, China, 511518
        • Department of Ophthalmology, Qingyuan People's Hospital

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 80 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients who underwent ophthalmic examination of the eye and recorded their ocular information in the collaborating hospital.

Exclusion Criteria:

-

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

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Eligible patients for CC-Cruiser test
An artificial intelligence to make comprehensive evaluation and treatment decision of congenital cataracts

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The proportion of accurate, mistaken and miss detection of CC-Cruiser.
Time Frame: Up to 4 years
Up to 4 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Erping Long, M.D., Ph.D, Zhongshan Ophthalmic Center, Sun Yat-sen University
  • Study Director: Haotian Lin, M.D., Ph.D, Zhongshan Ophthalmic Center, Sun Yat-sen 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.

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

January 1, 2012

Primary Completion (Actual)

April 1, 2016

Study Completion (Actual)

April 1, 2016

Study Registration Dates

First Submitted

April 13, 2016

First Submitted That Met QC Criteria

April 21, 2016

First Posted (Estimate)

April 22, 2016

Study Record Updates

Last Update Posted (Estimate)

April 22, 2016

Last Update Submitted That Met QC Criteria

April 21, 2016

Last Verified

April 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • CCPMOH2016-China3

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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