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Stanford Artificial Intelligence Expert Presents Doppman Lecture

Clinical Center News

Dr. Curtis Longlotz speaks at a podium
Dr. Curtis Longlotz, Professor of Radiology and Biomedical Informatics at Stanford University School of Medicine, presents at the NIH Clinical Center.
 

The NIH Clinical Center Radiology and Imaging Sciences Department hosted the 19th annual John Doppman Lecture for Imaging Sciences Oct. 16, 2019. The Doppman lecture honors the late chief of the CC's former Diagnostic Radiology Department.

The lecture was presented by Dr. Curtis Longlotz, Professor of Radiology and Biomedical Informatics at Stanford University School of Medicine. Longlotz directs Stanford University's Center for Artificial Intelligence (AI) in Medicine and Imaging, which develops AI methods that enable computer systems to draw inferences directly from image information and associated clinical data.

His talk "Radiology in the Era of Artificial Intelligence" covered why artificial intelligence can improve patient care, stating that the literature shows that 3 to 6 percent of radiology interpretations contain clinically significant errors as well as errors in other types of diagnostic imaging. "We definitely need help from algorithms," said Langlotz.

Dr. Elizabeth Jones, director of the CC's Radiology and Imaging Sciences Department presented Langlotz, with a certificate highlighting his lecture.

- Mickey Hanlon