Artificial intelligence in medical imaging and healthcare: friend or foe?
A panel of thought leaders share perspectives on the use of AI in medical imaging
5 minute read
Translating AI research from the bench to bedside
Federated learning holds the key to unlocking much of the AI-in-medicine research work around the world and brings it from the bench to the bedside. But how?
3 minute read
What are the benefits of an artificial intelligence centralized committee?
A discussion focused on the artificial intelligence centralized committee concept
2 minute read
Creating a confident AI experience starts with choice and control
Imaging AI is here. More applications are clearing regulatory hurdles and maturing to support clinical and operational use cases.
2 minute read
Prepare for truly useful large language models
A review of the positive and negative consequences of large language models
2 minute read
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
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
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
The Math of Life and Death - Kit Yates
A book at the intersection of mathematics and biological sciences which is a particularly gratifying read for any clinician who has even a remote affinity to mathematics
2 minute read