In 5 years, machine learning will be a part of every doctor’s job, Vic Gundotra says

Shared by Radhika Narayanan | 0 551 24 | about 3 years ago

Gundotra, a longtime Microsoft and Google executive, is now the CEO of AliveCor, a mobile health-tech startup.
When Vic Gundotra left Google in 2014, he thought he might retire, forever. But a lingering interest in wearable technology and machine learning led him to AliveCor, which lets users monitor their heart health from their smartphones.

Diving back into the fray of tech, Gundotra is now convinced that the potential of wearables and machine learning is just starting to be unlocked. AliveCor’s portable EKG sensor, Kardia, alerts users if their heartbeats are irregular — and now, the Mayo Clinic, an AliveCor investor, has begun identifying other signals in an EKG reading that a human might miss.

“No human doctor can look at your EKG and tell you with a high degree of accuracy what your potassium level is,” Gundotra said. “But the machines might be able to do something.”

Although he believes artificial intelligence will take some jobs away over time, Gundotra said people will always want human doctors “to tell them what’s going on.” He envisioned a near future where those doctors routinely enlist machines’ help and developing a good bedside manner becomes more important than ever.

“Today, you would never buy a car without airbags and antilock brakes,” he said. “In the next half-decade, no physician will practice without deep-learning, machine-learning systems by his side or her side.”

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Categories Artificial intelligence & Robotics Hospital & Physicians



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