The Future Of AI In Healthcare

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Two AI luminaries, Fei-Fei Li and Andrew Ng got together today on YouTube, to discuss the state of AI in healthcare.

, to discuss the state of AI in healthcare. Covid-19 has made healthcare a top priority for governments, businesses, and investors around the world and accelerated efforts to apply artificial intelligence to improving our health, from drug discovery to more efficient hospital operations to better diagnostics.

While both Li and Ng are currently applying AI to healthcare challenges, they believe that in the next few years they and their colleagues will still be in the experimentation stage. Progress will be “much slower than we wish over the next few years,” says Ng. “We are still figuring out the path to a human win,” agrees Li. For her, taking a “human-centered approach” is key to advancing the state of the art of AI in healthcare.

The quality, privacy, and availability of data has, of course, its unique challenges in healthcare settings. Ng points out that quality-of-data standards are still ambiguous and, as a result, AI developers need to brainstorm all the things that can go wrong and analyze the data accordingly. Li thinks that the most important thing is to recognize human responsibility. “AI is biased” is a term that puts the responsibility on the machine rather than the people who collect and manage the data.

 

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