THE ROLE OF ARTIFICIAL INTELLIGENCE IN EVALUATING THE CLINICAL AND BIOCHEMICAL CHARACTERISTICS OF BILIARY DYSKINESIA DEVELOPMENT
DOI:
https://doi.org/10.55640/Keywords:
artificial intelligence, machine learning, deep learning, biliary dyskinesia, biliary system, clinical and biochemical indicators, diagnosis, functional diseases.Abstract
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The article examines the possibilities of applying artificial intelligence in the assessment of clinical and biochemical features of the development of biliary dyskinesia. The relevance of the study is determined by the high prevalence of functional disorders of the biliary system and the complexity of their timely diagnosis. It is shown that disturbances in the motor-evacuatory function of the biliary tract are accompanied by changes in clinical symptoms and biochemical parameters, which require comprehensive analysis. The conclusion is drawn about the prospects of implementing intelligent technologies to improve the accuracy of diagnosis and personalize treatment approaches in biliary dyskinesia.
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