PROSPECTS OF USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN PREDICTING THE OUTCOMES OF BARIATRIC SURGERY
Keywords:
artificial intelligence , bariatric surgery, prediction, machine learning , clinical decision support , metabolic outcomesAbstract
increasing number of patients with obesity and metabolic syndrome has led to the expansion of bariatric surgery. At the same time, the issue of predicting the results of surgery, assessing individual risk, and selecting the right patients remains relevant. In recent years, artificial intelligence (AI) technologies have been actively used in various areas of medicine , including predicting surgical outcomes .
The aim of this article is to analyze the potential of artificial intelligence technologies in predicting the outcomes of bariatric surgery and assess their prospects in clinical practice. The study analyzed the current literature on the use of machine learning models based on clinical and laboratory parameters of patients undergoing bariatric surgery and assessed the effectiveness of prediction algorithms .
The analyses showed that AI -based models can predict body weight loss, diabetes remission, and postoperative complications with higher accuracy than traditional statistical methods. The superiority of SI algorithms is especially evident when multivariate clinical data is available . However, data quality, model interpretation, and clinical integration remain important challenges .
Thus, artificial intelligence holds great promise in predicting bariatric surgery outcomes at an individual level, risk stratification, and optimizing clinical decision-making , and it is considered appropriate to gradually introduce it into surgical practice.
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