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
2 minute read
Leveraging synthetic data and federated learning for healthcare research
These technologies could obviate the necessity to share raw data for some multi-site clinical research projects
2 minute read
Three reasons why AI in biomedicine has failed in the past
What are the elements that have accelerated the progress of AI in the last decade?
2 minute read
What every clinical researcher needs to know about artificial intelligence
An introduction to the importance of artificial intelligence and its applicability
2 minute read
A guide to artificial intelligence in medical devices
When medical devices become intelligent and connected, a real-time “learning system” for any disease can finally become a reality
2 minute read
What are the benefits of an artificial intelligence centralized committee?
A discussion focused on the artificial intelligence centralized committee concept
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How artificial intelligence can help clinicians overcome cognitive bias
With the rapid ascent of the capabilities of deep learning and transformers, clinician cognition is more important than ever
2 minute read
How to approach the use of large language models in medical education
A proposed strategy for the adoption and deployment of large language models (LLM’s) in medical education and clinical training
3 minute read
The top three ways of using AI to make an impact in healthcare
Putting artificial intelligence to use in healthcare: clinical deployment, operational automation, and patient experience
2 minute read