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Review
. 2021 Apr;10(4):1769-1779.
doi: 10.21037/tau-20-1405.

Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment

Jun Tan  1   2 , Feng Qin  1 , Jiuhong Yuan  1   2
Affiliations
Review

Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment

Jun Tan et al. Transl Androl Urol. 2021 Apr.

Abstract

In recent years, the advantages of artificial intelligence (AI) in data processing and model analysis have emerged in the medical field, enabled by computer technology developments and the integration of multiple disciplines. The application of AI in the medical field has gradually deepened and broadened. Among them, the development of clinical medicine intelligent decision-making is the fastest. The advantage of clinical medicine intelligent decision-making is to make the diagnosis faster and more accurate on the basis of certain information. Urine detection technologies, such as urine proteomics, urine metabolomics, and urine RNomics, have developed rapidly with the advancements in omics and medical tests. Advances in urine testing have made it possible to obtain a wealth of information from easily accessible urine. However, it has always been a problem to extract effective information from this information and use it. AI technology provides the possibility to process and use the information in urine. AI, combined with urine detection, not only provides new possibilities for precise and individual diagnosis and disease treatment, but also helps promote non-invasive diagnosis and treatment. This article reviews the research and applications of AI combined with urine detection for disease diagnosis and treatment and discusses its existing problems and future development.

Keywords: Artificial intelligence (AI); diagnosis; omics; urine detection.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau-20-1405). FQ and JY have the patent Portable Urine Recorder issued. The other authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
The applications of artificial intelligence combined with urine detection.
See this image and copyright information in PMC

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