23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Large language models improve physician accuracy but lead to false reliance
Tirtha Chanda, Christoph Wies, Franziska Schramm +10
Retrieval-augmented large language models (LLMs) promise source-linked clinical support, but their value depends on whether displayed evidence guides rather than distorts physician…
cs.CL2024★ 23 cited
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study
Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller +4
Large Language Models (LLMs) are revolutionizing medical Question-Answering (medQA) through extensive use of medical literature. However, their performance is often hampered by out…