Core Concepts
Large Language Models (LLMs) are transforming Biomedical and Health Informatics (BHI) by enhancing data analysis, patient care, and research through advanced Natural Language Processing (NLP) applications.
Abstract
This comprehensive review explores the impact of Large Language Models (LLMs) in Biomedical and Health Informatics. It covers their applications, evaluation frameworks, ethical considerations, and potential across various disease categories. The content is structured into sections focusing on LLM methodologies, outcomes in BHI applications, and specific disease categories.
Introduction:
- LLMs redefine NLP landscape in BHI.
- Applications include clinical support, patient engagement.
- Novel approaches address healthcare challenges.
Data Extraction:
- "LLMs have trained using 175 billion parameters."
- "BERT model revolutionized machine understanding."
Quotations:
- "LLMs have rapidly become important tools in BHI."
- "The advent of groundbreaking models like GPT has demonstrated capabilities to process human-like text."
Inquiry and Critical Thinking:
How can LLMs address ethical concerns in BHI?
What are the implications of integrating LLMs into medical education?
How can LLMs improve patient outcomes beyond diagnosis?
Stats
LLMs have trained using 175 billion parameters.
BERT model revolutionized machine understanding.
Quotes
"LLMs have rapidly become important tools in BHI."
"The advent of groundbreaking models like GPT has demonstrated capabilities to process human-like text."