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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

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Figure 1
The applications of artificial intelligence combined with urine detection.
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References

    1. Miller DD, Brown EW. Artificial Intelligence in Medical Practice: The Question to the Answer? Am J Med 2018;131:129-33. 10.1016/j.amjmed.2017.10.035 - DOI - PubMed
    1. Chen J, Remulla D, Nguyen JH, et al. Current status of artificial intelligence applications in urology and their potential to influence clinical practice. BJU Int 2019;126:647. 10.1111/bju.14852 - DOI - PubMed
    1. Goldenberg SL, Nir G, Salcudean SE. A new era: artificial intelligence and machine learning in prostate cancer. Nat Rev Urol 2019;16:391-403. 10.1038/s41585-019-0193-3 - DOI - PubMed
    1. Qin F, Yuan J. Research status and trend of artificial intelligence in the diagnosis of urinary diseases. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2020;37:230-5. - PMC - PubMed
    1. Ngiam KY, Khor IW. Big data and machine learning algorithms for health-care delivery. Lancet Oncol 2019;20:e262-73. 10.1016/S1470-2045(19)30149-4 - DOI - PubMed