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Validation of the Utility of Ophthalmology Intelligent Diagnostic System

NCT03499145 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 615

Last updated 2019-10-21

No results posted yet for this study

Summary

The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to real-world complex clinical settings. Here, the investigators use "deep learning" and "visionome technique", an novel annotation method for artificial intelligence in medical, to create an automatic detection and classification system for four key clinical scenarios: 1) mass screening, 2) comprehensive clinical triage, 3) hyperfine diagnostic assessment, and 4) multi-path treatment planning. The investigator also establish a telemedicine system and conduct clinical trial and website-based study to validate its versatility.

Conditions

  • Ophthalmopathy
  • Artificial Intelligence

Interventions

DEVICE

Ophthalmology diagnostic system.

An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases.

Sponsors & Collaborators

  • Ministry of Health, China

    collaborator OTHER_GOV

  • Xidian University

    collaborator OTHER

  • Sun Yat-sen University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-04-01
Primary Completion
2019-08-31
Completion
2019-08-31

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 NCT03499145 on ClinicalTrials.gov