A federated learning lab for children’s medicine
How can federated learning technology be harnessed and applied to training AI in children’s medicine applications?
4 minute read
Removing the barriers to successful IVF
Using AI to leverage data in fertility clinics to democratize access to fertility care and improve patient outcomes
3 minute read
Early prediction of central line-associated bloodstream infection using machine learning
Can a machine learning algorithm be used to predict the likelihood of central line-associated bloodstream infection using electronic health record data?
2 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
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
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
The possibilities and limitations of biomedical large language models
Five limitations of a biomedical LLM like BioGPT and what is in store for the future of this AI tool
3 minute read
Why have we seen rapid advances in consumer AI?
How are AI applications able to recognize common images with greater accuracy than humans?
5 minute read