Year: 2025
Type: article
Abstract: In today’s world, characterized by the growing prevalence of endocrine diseases and the complexity of their diagnosis and treatment, AI offers unique opportunities to improve medical care. In the article, we analyze how AI algorithms help detect and classify pathological changes in ultrasound, MRI, CT providing endocrinologists with additional tools for fast and accurate diagnosis. In addition, we are considering the use of AI for big data analysis, including electronic medical records (EHRs), which allows us to develop predictive models and personalize treatment. Special attention is paid to the role of AI in monitoring patients with chronic endocrine diseases, including continuous monitoring of blood glucose levels in diabetes mellitus This article will be useful for endocrinologists, researchers, students and anyone interested in the use of artificial intelligence in modern medicine.
Source: Obesity and metabolism
DOI: 10.14341/omet13238
Authors: A. P. Pershina-Miliutina, M. A. Telegina, E. V. Еrshova, K. A. Komshilova, P. A. Еrshova
Institution: Lomonosov Moscow State University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7082063261