Work

Tibbiyotda sun’iy intellektni rivojlantirishda mahalliy tibbiy ma’lumotlarning ahamiyati: TAMES AI loyihasi asosida

Year: 2026

Type: conference-paper

Abstract: Although artificial intelligence (AI) systems for medical diagnostics have demonstrated high performance under controlled research conditions, their implementation in diverse clinical settings remains problematic owing to dataset shift, population heterogeneity and insufficient local validation. Thyroid nodule assessment is a clear example: diagnostic algorithms trained mainly on data from North American and European populations may often fail to deliver the expected performance when applied in regions that differ in iodine status, genetic characteristics and healthcare infrastructure, such as Central Asia. Using the TAMES AI (Thyroid-AI Malignancy Evaluation System) project as a case, this article analyzes the methodological and strategic importance of multimodal clinical data from local sources for the development of medical artificial intelligence systems.

DOI: 10.66073/refocus-conf/0910292

Authors: Zufarova Nargiza Nigmat qizi, Zamira Yusufovna Xalimova, Kamiljanova Barnoxon Raximovna

Institutions: Tashkent University of Information Technology, Republikcan Scientific and Practical Medical Center of Endocrinology Named After Academician Y.H. Turakulov

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W7225014969

FWCI:

Cites: 6

Cited by:

Related to: 10