This work introduces MEDGPT-OSS, an open-weight, 20B-parameter generalist vision-language model designed to facilitate open research in clinical AI, which successfully outperforms larger open medical models on out-of-distribution multimodal reasoning and complex text-only clinical tasks.
Kai Zhang, Zheng-Qing Yuan, Cheng Peng et al.· arXiv.org· 0 citations
A rubric-guided large language model (LLM) that incorporated Optimization by PROmpting (OPRO) for OUD computable phenotyping (CP) was developed, which could link LLM-extracted evidence to OUD phenotyping for better explainability.
Mengxian Lyu, Paredes Pardo, Cheng Peng et al.· 0 citations
GatorOnco, an agentic LLM for colorectal cancer treatment planning, is presented and it is demonstrated that integrating agentic reasoning with large-scale domain adaptation can help bridge the gap for generative AI in high-stakes cancer treatment planning.
Mengxian Lyu, Cheng Peng, Tim Jang et al.· 0 citations
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