most citedMulti-step retrieval and reasoning improves radiology question answering with large language models

14 citations · 14 across the 7 of their papers we have counts for

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cs.CL2026

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial

Lisa C. Adams, Linus Marx, Erik Thiele Orberg +8

Question: Does atomic fact-checking, which decomposes AI treatment recommendations into individually verifiable claims linked to source guideline documents, increase clinician trus…

cs.CL2025★ 14 cited

Multi-step retrieval and reasoning improves radiology question answering with large language models

Sebastian Wind, Jeta Sopa, Daniel Truhn +9

Clinical decision-making in radiology increasingly benefits from artificial intelligence (AI), particularly through large language models (LLMs). However, traditional retrieval-aug…