May 7, 2024, 4:50 a.m. | Mohamed Yaseen Jabarulla, Steffen Oeltze-Jafra, Philipp Beerbaum, Theodor Uden

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.03359v1 Announce Type: new
Abstract: This research focuses on evaluating the non-commercial open-source large language models (LLMs) Meditron, MedAlpaca, Mistral, and Llama-2 for their efficacy in interpreting medical guidelines saved in PDF format. As a specific test scenario, we applied these models to the guidelines for hypertension in children and adolescents provided by the European Society of Cardiology (ESC). Leveraging Streamlit, a Python library, we developed a user-friendly medical document chatbot tool (MedDoc-Bot). This tool enables authorized users to upload …

analysis arxiv bot chat comparative analysis context cs.ai cs.cl cs.ir hypertension language language models large language large language models tool type

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