Athanasios Zamparas

Ludwig-Maximilians-Universität München

Papers

2

Total Citations

10

H-Index

2

About

Athanasios Zamparas 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 work addresses a critical gap in perioperative care: the inadequacy of traditional patient education methods, which often fail under the stress of impending surgery. Zamparas’s landmark study, “Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis” (2025, 8 citations), systematically evaluated LLMs’ ability to deliver clear, accurate, and empathetic pre-surgical information. By analyzing responses across multiple centers, he demonstrated that AI-driven tools could potentially reduce the estimated 4.2 million annual post-surgical deaths linked to poor patient understanding. His contributions have already influenced discussions on integrating LLMs into clinical workflows, with his work cited as a foundational reference for AI-assisted health literacy. Zamparas’s research not only highlights the promise of LLMs in democratizing medical knowledge but also sets a rigorous standard for evaluating their real-world efficacy, marking him as a key voice in the ethical deployment of AI in medicine.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Ludwig-Maximilians-Universität München

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago