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Apply Machine Learning to the Interpretation of Urinary Crystal Morphology.

NCT06178575 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2023-12-21

No results posted yet for this study

Summary

The goal of this observational study is to developing an image-based artificial intelligence software that can automatically interpret the types and sizes of crystals in urine. The main question\[s\] it aims to answer are:

* Allowing healthcare professionals to input urine images and receive real-time reading results on crystal types and sizes.
* This aims to provide a faster, more objective, and accurate analysis of crystals.

We anticipate delivering an image AI software suitable for practical applications, promoting the automation and accuracy of urine crystal analysis.

Conditions

  • Kidney Calculi

Sponsors & Collaborators

  • Yi-Shiou Tseng

    lead OTHER

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-12-31
Completion
2024-12-31

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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 NCT06178575 on ClinicalTrials.gov