Spelade
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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.
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David A. Bluemke, MD, PhD, Editor of Radiology discusses three research articles from the September 2018 issue of Radiology. ARTICLES DISCUSSED – Summary of Ex Vivo Mercury Release from Dental Amalgam after 7.0-T and 1.5-T. Radiology 2018; 288:799–803. Summary of Hippocampal Calcifications: Risk Factors and Association with Cognitive Function. Radiology 2018; 288:815–820. Summary of Ablation versus Resection for Stage 1A Renal Cell Carcinoma: National Variation in Clinical Management and Selected Outcomes. Radiology 2018; 288:889–897.
