Ughur Aghamaliyev
Papers
2
Total Citations
10
H-Index
2
About
Ughur Aghamaliyev is a researcher at the forefront of digital health and surgical communication, whose work explores how artificial intelligence can transform patient education. His primary research areas include large language models (LLMs) in clinical settings, patient-centered communication, and the intersection of technology and surgical care. Aghamaliyev’s most notable contribution is his pioneering study, "Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis," which has garnered 8 citations since its 2025 publication. This work addresses a critical gap in perioperative care: the inadequacy of patient education amid the stress of impending surgery, which contributes to the 4.2 million postoperative deaths occurring within 30 days worldwide. By evaluating LLMs as tools for delivering clear, accessible pre-surgical information, Aghamaliyev has opened a vital conversation about AI’s role in improving health literacy and outcomes. His research is particularly impactful for students and clinicians interested in how emerging technologies can bridge communication gaps in high-stakes medical environments. Aghamaliyev’s work signals a shift toward more empathetic, technology-driven patient care, making him a key voice in the evolving field of digital health.
Research Focus
Key Achievements
Top Papers
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