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The aim of the collaboration is to map out cardiac irregularities caused by the virus.

Downturn

Here’s a sampling of some of the best thinking on this body blow to the U.S. healthcare economy.

A convolutional neural network trained and internally validated on more than 15,000 lung CT scans has correctly reclassified indeterminate pulmonary nodules into low-risk or high-risk categories.

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

The FDA has permitted the use of Aidoc’s AI models for the detection and prioritization of incidental CT findings associated with COVID-19.

Compute

When applying AI to help answer clinical questions, developers, researchers and clinicians should all remain mindful of the difference between interpretability and explainability.

Lungs

AI developers working to refine COVID-19 detection in chest x-rays must navigate two unavoidable speed bumps.

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The completion of the first treatment represents a "significant milestone" for patients with liver cancer, the IR who led the procedure says.