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Invited Commentary
July 25, 2019

The Tipping Point for Deep Learning in Oncology

Author Affiliations
  • 1Department of Radiation Medicine, Oregon Health & Science University, Portland
JAMA Oncol. 2019;5(10):1429-1430. doi:10.1001/jamaoncol.2019.1799

Approaches to artificial intelligence have rapidly transformed many elements in our lives. Many have claimed that a new revolution fueled by artificial intelligence will bring even greater benefits and risks. Most of the common approaches leverage deep neural networks—algorithmic structures that process data through multiple layers of mathematical operations to result in a prediction or classification. These deep learning techniques require large amounts of well-annotated data and access to fast computing resources to ensure reasonable performance.

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