Jun 20, 2024 · Our study investigates the feasibility of using Large Language Models (LLMs) to automate the assessment criteria and risk factors from the guidelines.
Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models. Xiao Luo , PhD1 ...
Mar 18, 2024 · This study investigates the application of LLMs for extracting severity-related information for various SUD diagnoses from clinical notes.
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from publication: Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models ...
May 10, 2024 · In this study, we have shown that OpenAI's GPT-3.5 Turbo and GPT-4 offer remarkable zero-shot capabilities for clinical trial eligibility ...
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(2024). "Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using Large Language Models". Journal ...
This paper presents a conceptual evaluation framework to assess the performance of large language models and explore an appropriate governance and monitoring ...
Nov 30, 2023 · In this study, we report the evaluation of a large language model for zero-shot phenotyping using clinical notes.
The integration of large language models (LLMs) in healthcare presents complex challenges, including the need for explainability in model decision-making, ...
Our study investigates the feasibility of using Large Language Models (LLMs) to automate the assessment criteria and risk factors from the guidelines for future ...