4 ways artificial intelligence is poised to transform medicine [Video]

The radiologist was dead.

Or at least that’s what artificial intelligence (AI) experts prophesized in 2016 when they said AI would outperform radiologists within the decade.

Today, AI isn’t replacing imaging specialists, but its use is leading health care providers to reimagine the field. That’s why UC San Francisco was among the first U.S. universities to combine AI and machine learning with medical imaging in research and education by opening its Center for Intelligent Imaging.

Take a look at how UCSF researchers are pioneering human-centered AI solutions to some of medicine’s biggest challenges.

Spot illnesses earlier

AI developed at UCSF is now helping radiologists around the world spot cases of collapsed lung after being licensed by GE Healthcare. Now featured in GE products, the technology helps flag potential cases to physicians via alerts like the one pictured. Image courtesy of GE Healthcare

Tens of thousands of Americans suffer pneumothoraces, a type of collapsed lung, annually. The condition is …

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