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NIH Working Group Posts Recommandations to Accelerate AI in Biomedical Science

The US National Institutes of Health (NIH) put together an AI working group to evaluate what needs to be accomplished to leverage the exponential

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Outlook on artificial intelligence for the cognitive 20’s

On the Forbes Blog, Thomas Caldwell discusses Cognitive Computing In The Next Decade Of AI. He outlines the potential of technologies cross

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The importance of explainable machine learning in clinical settings

S. Tonekaboni, S. Joshi, M.D. McCradden & A. Goldenberg write in their publication: “What Clinicians Want: Contextualizing Explainable

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Digital Healthcare Transformation acceleration observed for 2020

Joseph E. Guimera, JD tends to focus us towards the positive impact technologies should have on patients. In May, 2019, he speaks of the early stages

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Cross-industry Partnerships Accelerating AI Adoption in Healthcare

Grand View Research published insights on the global artificial intelligence market in healthcare which they estimated at USD 2.5 billion in 2018.

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Applications vary, NLP holds largest share of Healthcare AI

Meticulous Research recently published a market research report on Healthcare AI applications. They explain that drivers in Healthcare AI stem

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Technavio predicts explosive growth in Healthcare AI market

Technavio market research report states that the global AI in healthcare market size will grow by USD 5.16 billion during 2019-2023. Authors add that

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Forbes Technology Council recognizes healthcare’s AI readiness

As part of the Forbes Technology Council, Terrence Mills discusses the obvious opportunities of AI in healthcare. The estimated market value of AI

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AI and the disintermediated healthcare professional

“Because for anything that’s machine learning-based, the machine learning gets better as the cost of compute and cost of storage goes to

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Weekend reading: FDA Policy for Device Software Functions

The september release of the FDA Policy for Device Software Functions contains important additions to the orginal 2013 policy document. Read the

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AI adoption in healthcare slow but moving

In his article in the Harvard Business Review, Roger Kuan discusses the complexities of AI adoption in healthcare. In a number of paragraphs he

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AI trends in healthcare: ready for deployment.

Nathan Eddy is predicting the AI and machine learning trends for 2020. Read the full article here. At MUUTAA we are happy to see that the predictions

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