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Machine Learning-assisted Analysis of Microcirculation Patterns and Parameters

NCT04957303 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2022-07-13

No results posted yet for this study

Summary

Machine learning has been widely used in clinical medicine in recent years. It can be used for disease classification, disease severity grading, genetic testing, image analysis, adjuvant treatment recommendations, and predicting patient prognosis. Because sublingual microcirculation can be used for guiding shock resuscitation, a real time automated analysis is required for rapid changes of clinical condition. This study aims to use machine learning to analyze the parameters and patterns of sublingual microcirculation.

Conditions

  • Sublingual Microcirculation Pattern and Parameter Analysis

Interventions

DEVICE

sublingual microcirculation video recording

The sublingual microcirculation videos were recorded by video microscope

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-08-03
Primary Completion
2023-12-31
Completion
2024-04-30

Countries

  • Taiwan

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 NCT04957303 on ClinicalTrials.gov