Practical uses for large language models (LLMs) in healthcare research
Language models can be useful as a natural language tool for literature review and manuscript summaries as well as electronic record information extraction
Language models can be useful as a natural language tool for literature review and manuscript summaries as well as electronic record information extraction
These technologies could obviate the necessity to share raw data for some multi-site clinical research projects
What are the elements that have accelerated the progress of AI in the last decade?
An introduction to the importance of artificial intelligence and its applicability
When medical devices become intelligent and connected, a real-time “learning system” for any disease can finally become a reality
A discussion focused on the artificial intelligence centralized committee concept
With the rapid ascent of the capabilities of deep learning and transformers, clinician cognition is more important than ever
A proposed strategy for the adoption and deployment of large language models (LLM’s) in medical education and clinical training
Putting artificial intelligence to use in healthcare: clinical deployment, operational automation, and patient experience