A study out of Ontario, Canada, has found that physicians undergo less guideline-recommended preventive testing for conditions like hyperlipidemia and diabetes, yet they fare better than members of the public when it comes to long-term health outcomes.

The Amerian Heart Association and the Duke Clinical Research Institute have formed a strategic alliance devoted to designing and conducting pragmatic randomized clinical trials in the cardiovascular space.

Convolutional neural networks (CNNs) can be trained to detect lung nodules on chest x-rays, according to a new study published in Artificial Intelligence in Medicine.

The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.  

Humana has released the findings of its latest value-based care report, detailing how the company is continuing to move away from fee-for-service when it comes to their Medicare Advantage population.

The Mark Foundation for Cancer Research (MFCR) has contributed funding to eight different research projects that involve AI.

Google and Ascension are offering more information about their ongoing patient data project in light of significant interest and privacy concerns.

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.