Pure Global
NCT05731765

SVP Detection Using Machine Learning

Automated Detection of Spontaneous Venous Pulsations Within Fundal Videos Using Machine Learning
King's College London·ClinicalTrials.gov·diagnostic testNot yet recruiting
View on ClinicalTrials.gov →
Study focus
Disease/Condition
Intracranial Pressure Increase
Drug/Device/Intervention
Machine Learning Model
Study type
Observational
Intervention type
diagnostic test
Sponsor & location
Primary sponsor
King's College London
Timeline & enrollment
Phase
N/A
Start date
Feb 01, 2023
End date
Oct 01, 2023
Enrollment
210 participants
Primary outcome

Area-under-the receiver operating characteristic (AUROC) for spontaneous venous pulsations detection

Summary

This diagnostic study will use 410 retrospectively captured fundal videos to develop ML
 systems that detect SVPs and quantify ICP. The ground truth will be generated from the
 annotations of two independent, masked clinicians, with arbitration by an ophthalmology
 consultant in cases of disagreement.

ICD-10 classifications
Benign intracranial hypertensionIntracranial injuryIntracranial injury, unspecifiedOther intracranial injuriesIntracranial hypotension following ventricular shunting
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT05731765
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT05731765 through Pure Global AI's free database. This phase not specified trial is sponsored by King's College London and is currently Not yet recruiting. The study focuses on Intracranial Pressure Increase. Target enrollment is 210 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.