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
The benefits of multimodal data integration are task-dependent and healthcare LLMs should examine clinical data modalities according to specific tasks for efficient integration, and provide practical guidance for designing efficient clinical decision support systems.
Cheng Peng, Mengxian Lyu, Ziyi Chen et al.· JAMIA Journal of the America...· 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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
