Advances on artificial intelligence in the diagnosis and treatment of urinary calculi

doi:10.3969/j.issn.1674-490X.2022.04.005

Abstract

Abstract: As healthcare systems continue to digitize and medical data continue to increase, clinicians face significant challenges in making accurate diagnoses, developing personalized treatment plans, and determining prognoses. There are some problems such as unknown formation factors, complex components, and large anatomical differences in the occurrence sites of urinary calculi, which hinder the personalized diagnosis and treatment of patients with calculi. Artificial intelligence can flexibly analyze and learn different data types, providing new ideas for the accurate diagnosis and treatment of urinary calculi. This paper reviews the research content of artificial intelligence in the diagnosis and treatment of urinary calculi to improve the understanding of the application of artificial intelligence in the diagnosis and treatment of urinary calculi.

Key words: artificial intelligence, machine learning, deep learning, urinary calculi, personalized diagnosis and treatment

CLC Number:

ZHAN Xiaofei, CUI Zhenyu, ZHAO Chunli. Advances on artificial intelligence in the diagnosis and treatment of urinary calculi[J]. Journal of Hebei Medical College for Continuing Education, 2022, 39(4): 30-38.

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