Large language models in biomedicine and health: current research landscape and future directions
Large language models (LLMs) are a specialized type of generative artificial intelligence (AI)
focused on generating natural language text. These models are developed through …
focused on generating natural language text. These models are developed through …
Harnessing large language models' zero-shot and few-shot learning capabilities for regulatory research
H Meshkin, J Zirkle, G Arabidarrehdor… - Briefings in …, 2024 - academic.oup.com
Large language models (LLMs) are sophisticated AI-driven models trained on vast sources
of natural language data. They are adept at generating responses that closely mimic human …
of natural language data. They are adept at generating responses that closely mimic human …
Language models for data extraction and risk of bias assessment in complementary medicine
H Lai, J Liu, C Bai, H Liu, B Pan, X Luo, L Hou… - npj Digital …, 2025 - nature.com
Large language models (LLMs) have the potential to enhance evidence synthesis efficiency
and accuracy. This study assessed LLM-only and LLM-assisted methods in data extraction …
and accuracy. This study assessed LLM-only and LLM-assisted methods in data extraction …
Assessing the ability of ChatGPT to extract natural product bioactivity and biosynthesis data from publications
Natural products are an excellent source of therapeutics and are often discovered through
the process of genome mining, where genomes are analyzed by bioinformatic tools to …
the process of genome mining, where genomes are analyzed by bioinformatic tools to …
[HTML][HTML] Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example
Aim We aimed to test whether and how ChatGPT understood the epidemiological problems
related to fluoride intake and whether ChatGPT could produce novel and feasible …
related to fluoride intake and whether ChatGPT could produce novel and feasible …
COMCARE: A Collaborative Ensemble Framework for Context-Aware Medical Named Entity Recognition and Relation Extraction
M **, C Sang-Min, K Gun-Woo - Electronics, 2025 - search.proquest.com
The rapid expansion of medical information has resulted in named entity recognition (NER)
and relation extraction (RE) essential for clinical decision support systems. Medical texts …
and relation extraction (RE) essential for clinical decision support systems. Medical texts …