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 medical engine behind artificial intelligence
The crucial role of data labellers in the development of medical artificial intelligence (AI)
3 minute read
Federated learning for consumer artificial intelligence applications
Federated learning is the key to training real-time, privacy-preserving artificial intelligence (AI) applications. So, what is federated learning?
4 minute read
Sepsis biomarkers and diagnostic tools with a focus on machine learning
A brief overview of the main machine learning techniques and published applications that have been used to create sepsis diagnostic tools and identify biomarkers
2 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
Decentralized architectures for AI in medicine
To create real-time, privacy-preserving AI in medicine, applications require a new decentralized computing infrastructure
4 minute read
AI in Medical Imaging and Healthcare: Friend or Foe?
A moderated panel of thought leaders will share perspectives on trends in the use of AI in medical imaging and healthcare. Brought to you by TeraRecon and Merative, in partnership with AI Med, this webinar will inform and provoke your thinking.
< 1 minute read
The principles and applications of artificial intelligence (AI) and data science in pediatrics
A recap of a webinar masterclass in intelligence-based medicine held in conjunction with Shriners Children’s healthcare system
6 minute read
Is AI helping to build a more resilient post-pandemic world?
The World Health Organization declared the COVID outbreak a pandemic three years ago. Has anything changed in healthcare since then?
5 minute read