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In a perspective piece, Stanford researchers discuss the ethical implications of using machine-learning tools in making health care decisions for patients.  
Dr. Langlotz addresses the National Academy of Medicine’s National Cancer Policy Forum.  
Mar 28 2018 | AI in Radiology: Rise of the Machines | Posted In: News
Dr. Matthew Lungren on Stanford AI in Radiology   
The hype around artificial intelligence (AI) in medical imaging has led to plenty of discussions of its impact in clinical and academic spaces. To explore current and future implementations of AI in medical imaging at academic institutions, Health Imaging spoke with Curtis Langlotz, PhD, Stanford University’s Medical Informatics Director for Radiology. Langlotz discusses the implementation of AI and machine learning in clinical imaging as this year’s Dwyer Lecturer at the SIIM 2018 Annual Meeting from May 31 to June 2 in National Harbor, Maryland.