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20242026
most citedMe LLaMA: Foundation Large Language Models for Medical Applications

8 citations · 9 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis

Fan Ma, Mauro Giuffrè, Donald Wright +12

Diagnostic error is a major threat to patient safety, yet current large language model (LLM) systems often treat diagnosis as a one-shot prediction task, lacking safeguards against…

cs.LG2026

IRIS: time-structured manifold projections

Brian Ondov, Chia-Hsuan Chang, Weipeng Zhou +6

High-dimensional biomedical data, such as cell-by-gene matrices, are increasingly generated temporally. However, Manifold Learning algorithms, like t-SNE and UMAP, cannot incorpora…

cs.AI2026

Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims

Fan Ma, Yuntian Liu, Xiang Lan +22

Evidence derived from large-scale real-world data (RWD) is increasingly informing regulatory evaluation and healthcare decision-making. Administrative claims provide population-sca…

cs.IR2026

MedViz: An Agent-based, Visual-guided Research Assistant for Navigating Biomedical Literature

Huan He, Xueqing Peng, Yutong Xie +6

Biomedical researchers face increasing challenges in navigating millions of publications in diverse domains. Traditional search engines typically return articles as ranked text lis…

cs.CL2026

EHRNavigator: A Multi-Agent System for Patient-Level Clinical Question Answering over Heterogeneous Electronic Health Records

Lingfei Qian, Mauro Giuffre, Yan Wang +11

Clinical decision-making increasingly relies on timely and context-aware access to patient information within Electronic Health Records (EHRs), yet most existing natural language q…