ENHANCING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CHRONIC PROLIFERATIVE RHINOSINUSITIS

Authors

  • Sulton Erkinovich Axmedov Assistant, Department of Otorhinolaryngology, Tashkent State Medical University, Tashkent, Uzbekistan Author

Keywords:

Chronic proliferative rhinosinusitis; chronic rhinosinusitis with nasal polyps; artificial intelligence; nasal endoscopy; computed tomography; machine learning; endotype prediction; diagnostic algorithm; precision rhinology.

Abstract

Chronic proliferative rhinosinusitis, operationally understood in this manuscript as chronic rhinosinusitis with a predominantly proliferative or polypoid mucosal phenotype, remains a diagnostic challenge because symptom burden, endoscopic appearance, computed tomography findings, and inflammatory endotype do not always correlate. Artificial intelligence (AI) is increasingly being used in rhinology to improve radiologic interpretation, endotype prediction, image segmentation, and endoscopic assessment. Aim: To evaluate the potential of an AI-assisted diagnostic pathway in 130 patients with chronic proliferative rhinosinusitis managed at the Tashkent State Medical University ENT Department.

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Published

2026-03-28

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Articles

How to Cite

ENHANCING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CHRONIC PROLIFERATIVE RHINOSINUSITIS. (2026). Ideal Journal of Multidisciplinary Research, 1(3), 434-441. https://researchiapress.com/index.php/1/article/view/168

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