Health TrialsbyHealthPanel

Real-world of AI in Diagnosing Retinal Diseases

ConditionsArtificial IntelligenceRetinal Diseases
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age1-100
SponsorBeijing Tongren Hospital

About this trial

The objective of this study is to apply an artificial intelligence algorithm to diagnose multi-retinal diseases in real-world settings. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

fundus photography around 45° field which covers optic disc and macula

complete identification information

Disqualifiers

insufficient information for diagnosis

Trial population

The study population is derived from an anonymous database that contains health examination results of the general population.

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • artificial intelligence algorithm

    Diagnostic test

    Retinal diseases diagnosed by artificial intelligence algorithm

Treatment groups

100,000 Participants
are divided into 1 treatment group
Group A: Retinal diseases diagnosed by artificial intelligence algorithm1 intervention

Trial outcomes

Primary outcomes

1

Area under curve

We used the receiver operating characteristic (ROC) curve and area under curve to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases.

Time frame
1 month
2

Sensitivity and specificity

We used sensitivity and specificity to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases.

Time frame
1 month
3

Positive predictive value, negative predictive value

We used positive predictive value and negative predictive value to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases.

Time frame
1 month
4

F1 score

We used F1 score to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases.

Time frame
1 month

Secondary outcomes

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Beijing Tongren Hospital

Lead sponsor

Source ClinicalTrials.gov
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