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How AI could limit gadolinium use when treating MS

gadolinium, GBCAs

Deep learning (DL) can predict and enhance MS lesions on unenhanced MRI scans, according to a new study published in Radiology. 

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‘It transports you to a safe place’: VR helps veterans manage chronic pain

At Tampa-based James A. Haley Veterans Hospital, veterans are being given VR headsets so they can experience a much more relaxing environment, one that isn’t full of pain and discomfort.

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AI startup raises $45M in Series B funding

Money

Paige, a New York-based healthcare startup focused on AI technologies, announced the completion of a Series B funding round worth $45 million.

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AI algorithm optimizes CCTA image quality

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

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Zebra Medical Vision set to bring AI to orthopedic care

Zebra Medical Vision has announced a new collaboration with DePuy Ireland Unlimited Company, agreeing to deploy cloud-based AI solutions focused on orthopedic care.

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AI improves prediction of heart attack, cardiac death

Machine learning (ML) can predict a patient’s long-term risk of myocardial infarction (MI) or cardiac death, according to new findings published in Cardiovascular Research.

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How empathy could help AI systems interact with patients

Robot Eye

Should AI systems be empathetic? That’s the question asked—and discussed at length—in this new analysis.

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3 key requirements for AI in healthcare to reach its full potential

AI could change healthcare forever. But for the technology to reach its full potential, researchers must make sure they go about things the right way.

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FDA grants AI algorithm for heart failure Breakthrough Device designation

Eko, a San Francisco-based healthcare technology company, announced that its ECG-based algorithm for heart failure has been granted a Breakthrough Device designation by the FDA.

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Prediction time: How will AI impact radiology in another 10-15 years?

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.

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

  • Read more about Prediction time: How will AI impact radiology in another 10-15 years?

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