Status:
UNKNOWN
Apply Machine Learning to the Interpretation of Urinary Crystal Morphology.
Lead Sponsor:
Yi-Shiou Tseng
Conditions:
Kidney Calculi
Eligibility:
All Genders
20+ years
Brief 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\[s\] ...
Detailed Description
Kidney stones are primarily formed due to the supersaturation of ions in urine, leading to the formation of crystals. An assessment of the risk of kidney stones is based on a patient's medical history...
Eligibility Criteria
Inclusion
- Retrospectively analyze the urine crystal images preserved from the previous study 107123-E for crystal type analysis. Subsequently, conduct image preprocessing and label categorization for machine software learning and inference. The interpreted results will then be assessed for accuracy using statistical analysis software.
Exclusion
- Not applicable
Key Trial Info
Start Date :
January 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2024
Estimated Enrollment :
200 Patients enrolled
Trial Details
Trial ID
NCT06178575
Start Date
January 1 2024
End Date
December 31 2024
Last Update
December 21 2023
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