A team led by researchers at Google AI in Mountain View, CA, has developed a deep-learning model that can predict lung malignancies. The model, a neural network trained with lung cancer CT scans, performs as well as, or better than, trained radiologists.
“This extensive deep neural net assessment represents a step forward for CT lung cancer screening in smokers, which has been plagued by very high rates of false positives and negatives,” notes Eric Topol, MD, executive vice president of Scripps Research, and founder and director, Scripps Research Translational Institute. He tells GEN that “the algorithms require prospective clinical validation, but are certainly promising.”
