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Shepherd Research Lab Blog

How AI, Machine Learning, and Clinical Intelligence Are Improving Oncology Research

Risk assessment, detection and diagnosis are essential for early treatment of cancer, yet can be among the most difficult steps in the process. A study in Radiology by John A. Shepherd, Ph.D. and fellow researchers, for example, focuses on ways to use artificial intelligence to improve breast cancer risk assessment.

“Conventional methods of breast cancer risk assessment using clinical risk factors haven’t been that helpful,” Shepherd explains. By using artificial intelligence, however, the researchers were able to explore mammogram images more deeply in order to find ways to assess risk that focus on more than just breast density.

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