Artificial intelligence in endocrinology: Breakthrough technologies and prospects

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.

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Publication Details

Journal
Obesity and metabolism
Published
2025-09-03
DOI
https://doi.org/10.14341/omet13238
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Artificial intelligence in endocrinology: Breakthrough technologies and prospects

1 citations
Obesity and metabolism
Geochemistry and Geologic Mapping
2.48
article

Artificial intelligence in endocrinology: Breakthrough technologies and prospects

article en
1 citations

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.

Obesity and metabolismVol. 22(2)
BioClinica (United States) (US), Lomonosov Moscow State University (RU), National Medical Research Center of Cardiology (RU), Moscow State University (TJ)
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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