Artificial intelligence is quickly evolving into a lifesaver. Two separate efforts in the commercial and academic arenas have inched us closer to taking a bite out of heart disease — the world's no. 1 killer. A Stanford University team led by Andrew Ng and a Silicon Valley startup are tapping the power of AI to improve detection of abnormalities and increase the accuracy of diagnoses. Medical-device maker AliveCor, based in Mountain View, is building deep learning AI algorithms to enable people to monitor their heart rates using built-in sensors on the Apple Watch. They can even alert people to take an immediate EKG using an Apple Watch app and a specially designed band with a built-in sensor. AliveCor had already made an impact on the EKG front with its KardiaMobile device, which lets users record and analyze EKGs in combination with a smartphone app. Introduced five years ago, the product's underlying deep learning model, which was trained on a cluster of NVIDIA Tesla GPUs on AWS, creates a heart profile for the user and then compares future EKGs against that baseline. What's more, the app automatically detects if someone new is using the device, ensuring the integrity of the main… Read full this story
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