3 papers
cs.IR2026
Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools
Kirk Roberts, Steven Bedrick, Kurt Miller +2
Discussions around large language model (LLM) errors in clinical artificial intelligence (AI) generally center around precision errors like hallucinations. This perspective, target…
cs.IR2026
Overview of TREC 2025 Biomedical Generative Retrieval (BioGen) Track
Deepak Gupta, Dina Demner-Fushman, William Hersh +2
Recent advances in large language models (LLMs) have made significant progress across multiple biomedical tasks, including biomedical question answering, lay-language summarization…
cs.CL2025
Clinical Document Metadata Extraction: A Scoping Review
Kurt Miller, Qiuhao Lu, William Hersh +4
Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information capture…