The use of artificial intelligence for monitoring patients with gastrointestinal diseases: opportunities and limitations

The objective was to analyze the literature sources on monitoring and observation of patients with diseases of the gastrointestinal tract (GIT) in daily medical practice using machine learning methods.

Methods and materials. To prepare the review, scientific publications were searched in databases such as PubMed, Web of Science, Scopus, CyberLeninka, eLibrary, and Google Scholar. The search strategy included the use of keywords in Russian and English: «diseases of the gastrointestinal tract», «gastroenterological diseases», «artificial intelligence», «machine learning», «deep learning», «patient monitoring», «remote monitoring». The inclusion of original research in the period 2015–2025 is based on an independent assessment by the authors.

Results. Of the 594 publications, 9 studies meeting the inclusion criteria were included in the final analysis after screening.

Conclusion. AI provides modern approaches to monitoring, diagnosing, and predicting complications of gastrointestinal diseases. The solutions created on its basis are characterized by high diagnostic and forecasting accuracy, often exceeding classical clinical scales, and form the foundation of intelligent decision support systems for doctors.

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