Large language models (LLMs) are artificial intelligence systems that use neural networks to generate human-like responses based on vast amounts of text data. In the field of healthcare, LLMs have the potential to support clinical diagnosis, reduce administrative burdens, improve communication ...
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors. Within healthcare there has been innovation specifically towards generative ...
Understanding the risks of language models in healthcare However, despite the promise of machine learning in healthcare (MLHC) broadly, there are also significant risks of patient harm. Many models—including those which have been implemented in clinical practice [14, 15]—have been demonstrated ...
Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
Large Language Models (LLMs) have significantly advanced healthcare innovation on generationcapabilities. However, their application in realclinicalsettings is challenging due to potential deviations from medical facts and inherent biases. In this work, we develop an augmented LLM framework, KG-Rank, wh...
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by ChatGPT, are promising for revolutionizing data and information management in healthcare and medicine. However, there is scant literature guiding their integration for non-AI professionals. This study conducts a sc...
with AWS to help organizations—especially those in highly-regulated industries like healthcare,...
[1] Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, and Erik Cambria. Asurvey of large language models for healthcare: from data, technology, and applications toaccountability and ethics. arXiv preprint arXiv:2310.05694, 2023. ...
This systematic review characterizes the current performance of large language models in evaluating clinical health care settings, including uniformity,
Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare KUIS AI Center 2024-04 HuggingFace BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains LIA - Avignon Université, Nantes Université 2024-02 HuggingFace AMIE: Towards Conve...