Reevaluating UTI Treatment Guidelines Through Machine Learning Insights

A recent study in JAMA Network Open evaluates the use of machine learning algorithms to assess the management of urinary tract infection (UTI). Author Sanjat Kanjilal, MD, MPH, professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Healthcare Institute, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. Related Content:

• Researchers Use Machine Learning to Put Older Clinical Guidelines to the Test
• Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection