3 papers
cs.AI2026
Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases
Dubai Li, Yuxiang He, Yan Hu +2
Observational studies can yield clinically actionable evidence at scale, but executing them on real-world databases is open-ended and requires coherent decisions across cohort cons…
cs.CL2026
Streamlining evidence based clinical recommendations with large language models
Dubai Li, Nan Jiang, Kangping Huang +13
Clinical evidence underpins informed healthcare decisions, yet integrating it into real-time practice remains challenging due to intensive workloads, complex procedures, and time c…
cs.CL2025
Enhancing Trustworthy Clinical Diagnosis Decision-Making in Large Language Models via Etiology-Aware Attention Supervision
Peixian Li, Yu Tian, Ruiqi Tu +3
Objective: Large Language Models (LLMs) have demonstrated strong capabilities in medical text understanding and generation. However, their trustworthiness in diagnosis-oriented med…