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Artificial Intelligence in Medical Diagnosis: A Systematic Review
Machine learning algorithms have shown remarkable performance in detecting diseases from medical images, including diabetic retinopathy, skin lesions, and various cancers, sometimes exceeding specialist-level accuracy.
Sustainable Development Goals and Higher Education Institutions in Central Asia
This study examines the integration of Sustainable Development Goals (SDGs) into curricula and research agendas of universities in Uzbekistan, Kazakhstan, and Kyrgyzstan, highlighting key challenges and best practices.
Large Language Models for Scientific Literature Review: Capabilities and Limitations
We systematically evaluate ChatGPT, GPT-4, and Claude across 35 NLP tasks and find that while LLMs excel at summarization and question answering, they remain unreliable for factual citation generation.
Minimally Invasive Surgery Techniques in Traumatology: Clinical Outcomes
A retrospective analysis of 340 patients treated with minimally invasive techniques at Andijan State Medical Institute demonstrated significantly reduced recovery time and complication rates compared to traditional open surgery.
Digital Economy and Employment in Developing Countries: Evidence from Uzbekistan
Using panel data from 2015–2022, this paper investigates how digital economy expansion affects labor market outcomes in Uzbekistan, finding positive correlations with formal employment but displacement effects in traditional sectors.
Phytochemical Composition and Biological Activity of Uzbek Medicinal Plants
Screening of 48 endemic Uzbek plant species for antimicrobial, antioxidant and cytotoxic activities revealed 12 species with significant therapeutic potential, particularly Ferula foetida and Glycyrrhiza glabra.
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