cover of episode Machine Learning and Dose Patterns that Influence Xerostomia

Machine Learning and Dose Patterns that Influence Xerostomia

2019/2/25
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ASTRO Journals

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Todd McNutt, Ph. D, author of an article recently published in Advances, shares the process and results of using machine learning methods to identify dose patterns that predict for xerostomia in head and neck cancer patients. Dr. McNutt identifies the advantages and challenges inherent in utilizing this newer method rather than more traditional predictors. Advances associate senior editor, Matthew Studenski, Ph. D provides perspective on the growing use of machine learning and AI in medical research. Music by D. Tegbaru, used with permission.