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The agency said the new strategy is critical to achieving its goal of reducing cancer deaths by 50% and improving the burdens of cancer treatments on patients and families.

Despite broad concern by health IT developers and owners, some deadlines have been pushed out in HTI-1, the new federal rule governing certification, AI transparency and other standards, while those for decision support algorithms have not.

EHR optimization, limited application of artificial intelligence, and working with machine learning and natural language processing where proven are some of the areas for which these experts say CIOs and other leaders must be prepared.

The National Institute of Standards and Technology created guidance for evaluating differential privacy algorithms that could allow data to be publicly released without revealing the individuals within the dataset.

Explore the benefits of private AI architecture for your organization.

Five QHINs have completed the onboarding process, according to ONC, and will now drive higher levels of healthcare information interoperability across the U.S.

Now that telemedicine is mainstream, artificial intelligence is helping healthcare providers with imperatives such as patient triage. Early results are promising.

They are vulnerable to email fraud and domain spoofing.