Improving large language models for clinical named entity recognition via prompt engineering
Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …
and GPT-4, in processing complex clinical data and extracting meaningful information with …
[HTML][HTML] An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing: algorithm development and …
S Sivarajkumar, M Kelley… - JMIR Medical …, 2024 - medinform.jmir.org
Background Large language models (LLMs) have shown remarkable capabilities in natural
language processing (NLP), especially in domains where labeled data are scarce or …
language processing (NLP), especially in domains where labeled data are scarce or …
Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes
X Du, J Novoa-Laurentiev, JM Plasek, YW Chuang… - …, 2024 - thelancet.com
Summary Background Large language models (LLMs) have shown promising performance
in various healthcare domains, but their effectiveness in identifying specific clinical …
in various healthcare domains, but their effectiveness in identifying specific clinical …
Advancing entity recognition in biomedicine via instruction tuning of large language models
Abstract Motivation Large Language Models (LLMs) have the potential to revolutionize the
field of Natural Language Processing, excelling not only in text generation and reasoning …
field of Natural Language Processing, excelling not only in text generation and reasoning …
Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach
Biomedical relation extraction from scientific publications is a key task in biomedical natural
language processing (NLP) and can facilitate the creation of large knowledge bases, enable …
language processing (NLP) and can facilitate the creation of large knowledge bases, enable …
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports
Objective Although supervised machine learning is popular for information extraction from
clinical notes, creating large annotated datasets requires extensive domain expertise and is …
clinical notes, creating large annotated datasets requires extensive domain expertise and is …
[HTML][HTML] The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations
D Roustan, F Bastardot - Interactive journal of medical research, 2025 - i-jmr.org
Large language models (LLMs) are artificial intelligence tools that have the prospect of
profoundly changing how we practice all aspects of medicine. Considering the incredible …
profoundly changing how we practice all aspects of medicine. Considering the incredible …