Javad Karimbayli
Papers
2
Total Citations
10
H-Index
2
About
Javad Karimbayli is a pioneering researcher at the intersection of artificial intelligence and healthcare communication, with a primary focus on leveraging large language models (LLMs) to transform patient education. His groundbreaking work addresses a critical gap in perioperative care: the inadequacy of traditional patient education methods, which often fail due to the high stress levels experienced by patients before surgery. Karimbayli’s most influential study, "Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis" (2025, 8 citations), systematically evaluates LLMs’ potential to deliver clear, accessible, and empathetic information to millions of surgical patients worldwide. This work highlights the staggering scale of the problem—300 million annual surgeries and 4.2 million postoperative deaths—and proposes AI-driven solutions to improve understanding and outcomes. His earlier preprint (2024, 2 citations) laid the groundwork for this analysis. By demonstrating that LLMs can serve as reliable, scalable tools for patient education, Karimbayli is shaping the future of digital health, offering a path toward reducing anxiety, enhancing informed consent, and ultimately saving lives.
Research Focus
Key Achievements
Top Papers
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