Large language models in medicine Article 17 July 2023 The future landscape of large language models in medicine Article Open access 10 October 2023 Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Article Open access 06 March 2024 Introduction...
A long-running goal of the clinical NLP community is the extraction of important variables trapped in clinical notes. However, roadblocks have included dataset shift from the general domain and a lack of public clinical corpora and annotations. In this work, we show that large language models, ...
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically rely on automated evaluations on limited benchmarks. ...
Large language models (LLMs) have the potential to revolutionize our medical system1having shown their capabilities on diverse tasks2,3,4,5,6,7,8,9,10,11. Importantly, as humans primarily interact with the world through language, LLMs are poised to be the point of access to the multimodal...
How Records in PRISMA Overcame a Language Barrier Providers at La Clinica Camellia, part of Medicos Medical Center in Memphis, Tennessee, used PRISMA to retrieve records showing that a patient had had a postpartum hemorrhage following her hospital delivery. That information helped them better communic...
Participants described not being able to find rooms large enough for all the students or having to run sessions with more students that they would have liked. Participant 6: “There was quite a large cohort of particularly the fourth year students, and in terms of running [a] simulation we...
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need OBJECTIVE. To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large l... C Peng,X Yang,A Chen,...
We tested several large language models enhanced with retrieval-augmented generation (RAG-LLM) to assess their performance on this task.Methods:We extracted eligibility criteria of 184 oncology trials with FDA approval notifications between 8 January 2020 and 18 January 2024, as well as information ...
Your paper your way Introduction Manuscript Categories Submission Checklist Before you begin Ethics in publishing Studies in humans and animals Declaration of interest Declaration of generative AI in scientific writing Submission declaration and verification Use of inclusive language Reporting se...
Large Language Models ML: Machine Learning NLP: Natural Language Processing PROSCA: Prostate cancer communication assistant PT/INR: Prothrombin Time / International Normalized Ratio SVMs: Support vector Machines TDM: Therapeutic drug monitoring ...