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How AI can help providers manage the post-COVID backlog

BY Jeff Rowe | June 10, 2020

As the coronavirus is beaten back, one healthcare veteran points to AI as a key tool in the effort to turn attention back to patients whose treatments have been put on hold during the pandemic.

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West Virginia researchers unveil AI-enabled diagnostic tool

BY Jeff Rowe | June 09, 2020

As the COVID-19 pandemic continues, remote patient monitoring and early detection have both been vital to ensuring patient and provider safety. 

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Collaborative effort taps AI to enhance clinical trials

BY Jeff Rowe | June 05, 2020

The virtual assistant has been used by businesses in recent years to run data collection and analysis, with a natural language engine able to understand and respond to conversational speech.

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How COVID-19 is putting AI at center stage

BY Jeff Rowe | June 04, 2020

The rapid adoption of AI to fight COVID-19 is likely to provide evidence for what works—and what doesn’t—for healthcare applications.

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Cerner partners with Dubai hospital in AI research center

BY Jeff Rowe | June 04, 2020

Among other things, the new virtual medicine concept will provide smart and convenient services to patients, such as telemedicine, video, and phone visits, from anywhere.

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Wanted: safe and ethical AI, now more than ever

BY Jeff Rowe | June 03, 2020

Demand for AI in healthcare is unlikely to diminish, says one cybersecurity researcher, so dialogue about how to use AI safely and ethically is critical.

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Privacy concerns loom as South Korea expands AI-driven health monitoring

BY Jeff Rowe | June 02, 2020

Considered a coronavirus success story, the country’s efforts have also raised broader worries that privacy is being sacrificed for epidemiological gains.

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The pros and cons of AI in a pandemic

BY Jeff Rowe | May 29, 2020

In a rush to find solutions for the Covid-19 pandemic, say experts, researchers need to be patient and thorough as they sift through data that might give us more clues about the virus.

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Research team tethers AI to prosthetic limbs

BY Jeff Rowe | May 27, 2020

According to the research team, the next step is to develop ways to make the system more efficient by requiring less visual data input and less data processing.