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Artificial Intelligence in Ultrasound Diagnosis of Bowel Diseases: Modern Possibilities

https://doi.org/10.22416/1382-4376-2025-35-6-27-34

Abstract

Aim. Review of current achievements, opportunities and challenges in applying artificial intelligence (AI) for analyzing intestinal ultrasound images.

Key points. Ultrasound examination is a highly informative, safe, and widely accessible method for bowel pathology diagnosis. The integration of AI, particularly deep learning and radiomics methods, aims to overcome the operator-dependence of ultrasound, standardize diagnosis, and enhance its efficiency. This article reviews the development and validation of AI algorithms for key areas: inflammatory bowel diseases, acute appendicitis, bowel intussusception and colorectal cancer. Limitations and concerns that require resolution for the successful integration of AI into clinical practice are also discussed.

Conclusion. The integration of AI into ultrasound diagnosis of bowel diseases has significant potency for improving accuracy, reproducibility, and operational efficiency.

About the Authors

D. D. Mukhametova
Kazan State Medical University
Russian Federation

Dilyara D. Mukhametova — Cand. Sci. (Med.), Associate Professor of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 



O. E. Akchurina
Kazan State Medical University
Russian Federation

Olga E. Tabakchi — Postgraduate of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 



D. I. Abdulganieva
Kazan State Medical University
Russian Federation

Diana I. Abdulganieva — Dr. Sci. (Med.), Professor, Head of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 



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Review

For citations:


Mukhametova D.D., Akchurina O.E., Abdulganieva D.I. Artificial Intelligence in Ultrasound Diagnosis of Bowel Diseases: Modern Possibilities. Russian Journal of Gastroenterology, Hepatology, Coloproctology. 2025;35(6):27-34. https://doi.org/10.22416/1382-4376-2025-35-6-27-34

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