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March 3, 2026
Open Access
Urine volatile organic compounds (VOCs) combined with machine learning algorithm in the diagnosis of gallstones with cholecystitis
XZ
Xiaoyue Zhao
Shandong University of Traditional Chinese Medicine
XL
Xin Li
RZ
Ruonan Zhang
Shandong University of Traditional Chinese Medicine
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Key Points
Diagnosis of gallstones using a unique combination of urine volatile organic compounds shows promising results.
The study reports an increase in diagnostic accuracy by up to 80% when integrating machine learning techniques.
Assessment using urine samples and advanced algorithms provides insights into gallstones and associated inflammation.
The findings support potential enhancements in non-invasive diagnostic approaches for cholecystitis, highlighting the need for further exploration.
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Cite This Study
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Zhao et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75d37c6e9836116a26e17
https://doi.org/https://doi.org/10.1038/s41598-026-36709-6
Urine volatile organic compounds (VOCs) combined with machine learning algorithm in the diagnosis of gallstones with cholecystitis | Synapse