AI in Action—Detecting Lung Cancer

Lung cancer is the leading cause of cancer deaths in the U.S., claiming about 127,000 American lives every year. The challenge is early detection—and a new AI tool shows promise on this front. Sybil—an AI deep-learning model developed by researchers at MIT, Mass General, and Chang Gung Memorial Hospital in Taiwan—can accurately predict future lung cancer risk from a single low-dose CT scan. Effectively, it can find patterns in 3D images that cannot be seen by the human eye—and could help stop cancer before it spreads.

While this tool is still being studied and not yet available for clinical use, it represents one more example of how AI can be used to address a range of intractable challenges, including those in healthcare. You can watch and read an NBC News story about Sybil here.

Thank you for reading. Below, please find our roundup of recent tech policy news and a featured podcast. Thank you.

This Week in Washington 

Article Summary

Featured Podcast

The New York Times

  • Hard Fork
    The New York Times Opinion columnist Ezra Klein has spent years talking to artificial intelligence researchers. Many of them feel the prospect of A.I. discovery is too sweet to ignore, regardless of the technology’s risks. Today, Mr. Klein discusses the profound changes that an A.I.-powered world will create, how current business models are failing to meet the A.I. moment, and the steps government can take to achieve a positive A.I. future. (A.I. Vibe Check With Ezra Klein, and Kevin Tries Phone Positivity – April 7, 2023)