Martin K. Angele
Papers
3
Total Citations
12
H-Index
2
About
Martin K. Angele is a pioneering researcher at the intersection of artificial intelligence and surgical patient education. His work focuses on leveraging large language models (LLMs) to address critical gaps in preoperative communication, where stress often undermines traditional education. Angele’s landmark study, “Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis” (2025), has garnered 8 citations, establishing him as a leading voice in this emerging field. The research highlights how LLMs can deliver clear, accessible information to the roughly 300 million annual surgery patients worldwide, potentially reducing the 4.2 million post-surgical deaths within 30 days. Earlier, Angele explored non-invasive alternatives for inoperable metastases through CyberKnife® stereotactic radiotherapy (2010), demonstrating his versatility in advancing patient-centered care. His work bridges cutting-edge technology with clinical reality, offering scalable solutions to improve health literacy and outcomes. For students and researchers, Angele’s contributions underscore the transformative potential of AI in medicine, making him a key figure to watch in the evolution of digital health and surgical communication.
Research Focus
Key Achievements
Top Papers
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