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NCT03499145 Clinical Trial

Validation of the Utility of Ophthalmology Intelligent Diagnostic System

Artificial Intelligence Clinical Trial

Official title:
Validation of the Utility of Ophthalmology Intelligent Diagnostic System: A Clinical Trial

Clinical Trial Details — Status: Completed

Administrative data
NCT number NCT03499145
Other study ID # CCPMOH2018-China-2
Secondary ID
Status Completed
Phase
First received
Last updated
Start date April 1, 2018
Est. completion date August 31, 2019

Study information
Verified date October 2019
Source Sun Yat-sen University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.

Recruitment information / eligibility
Status Completed
Enrollment 615
Est. completion date August 31, 2019
Est. primary completion date August 31, 2019
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group N/A and older
Eligibility Inclusion Criteria:

- Patients and residents who underwent ophthalmic examination of the eye and recorded their ocular information in the outpatient clinic and community.

Study Design

Related Conditions & MeSH terms

Intervention

Device:
• Ophthalmology diagnostic system.
An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases.

Locations
Country Name City State
China Zhongshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong

Sponsors (3)
Lead Sponsor Collaborator
Sun Yat-sen University Ministry of Health, China, Xidian University

Country where clinical trial is conducted

China, 

Outcome
Type Measure Description Time frame Safety issue
Primary The proportion of accurate, mistaken and miss detection of the ophthalmology diagnostic system. Up to 5 years
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