Artificial Intelligence

Bringing Artificial Intelligence to Healthcare: Enhancing Risk Models to Predict the Future Cost of Care

Once while I was scrolling through the news feed on my phone, there was one specific line that really made me wonder: “There’s a 40% chance of gusty and blustery winds today.” Statements such as this one strongly influence people’s behavior, as they are based on evidence or data findings from years of surveying, studying,

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AI in Healthcare Will Change Lives for the Better, And Not a Moment Too Soon

As Artificial Intelligence (AI) development has ramped up in recent years, there’s been plenty of attention paid to the potential negative impacts that the technology might have on humanity. The media has been awash in splashy headlines, pointing to looming massive job losses, new cybersecurity threats, and the possibility that AI could eventually come to

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AI Replacing Doctors. What Do Doctors Think About That?

Airport @ Mthatha, South Africa. Called the heart and soul of the wild coast. Last year, I was teaching health IT to clinicians in Mthatha, South Africa. Interventional cardiologists. Pulmonologists. Psychiatrists. Family physicians. Surgeons. Orthopedic doctors. More. As senior specialists – sometimes the only ones in town – their perspective of clinical care was deep.

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Will Cybersecurity Ultimately Fail Without the Use of AI?

Cybersecurity has largely garnered attention for all the wrong reasons over the past 10 years. From Yahoo to Target to Equifax, it’s the lack of adequate security that had made headlines and sparked conversations. For many, the advancement of Artificial Intelligence (AI) is the great equalizer against cybercriminals. Those that advocate its use in cybersecurity

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Machine Learning in Healthcare

Information that’s accessible regarding patients is increasing by the day. And we have access to a lot of this data at our fingerprints thanks to advances in technology. We should be able to draw insights from this and put data to work. The first challenge is the huge amount of data that cannot be processed

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How AI Will Affect Ophthalmology: Will Your Ophthalmologist Be a Robotic AI?

The use of machine learning and AI is growing at a rapid rate in the healthcare sector, being able to tackle tasks many thought wouldn’t be possible just yet. Google researchers are doing just that by teaching a AI algorithm to detect common forms of blindness, specifically diabetic retinopathy—which affects almost a third of diabetes

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