A workshop review published in JAMA Oncology evaluated the best practices for developing and assessing the clinical utility of predictive computational methods in oncology.
“In many ways, the use of computers to diagnose disease and guide treatment has led to more questions than answers,” the authors wrote. “Unfortunately, the excitement to harness computers in the oncology clinic has led to several high-profile instances of premature or inappropriate use of computational predictive systems in cancer before they been adequately tested and validated.”
The National Cancer Policy Forum and the Board on Mathematical Sciences and Analytics at the National Academies of Sciences, Engineering, and Medicine hosted the workshop to assess the use of multidimensional data obtained from patients with cancer and the computational methods used to analyze the data.
Key characteristics for…