Developing a Center of Excellence for Machine Learning Research in Medical Imaging


Curtis Langlotz, MD, PhD

Date: August 10, 2018

Time: 9 – 10:30 am

Location: HSLC 1325


Artificial intelligence (AI) and machine learning will revolutionize medical imaging practice in the next several years.  New AI systems will affect every facet of medical imaging, including image production, image quality control, work list prioritization, and computer aided detection and classification for image interpretation.  I will describe a new center of excellence at Stanford and how it is addressing these challenges and building new tools that enhance early detection, reduce diagnostic errors, and improve patient care. We will explore why there is so much excitement about AI applications in medical imaging, understand the fundamentals of machine learning and why is it especially useful in medical imaging, review where AI technologies will be deployed first in imaging practice, and identify the barriers to the clinical use of machine learning tools in medical imaging.

Speaker bio:

Curtis P. Langlotz, MD, PhD, is Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford University. As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he is also responsible for the computer technology that supports the Stanford Radiology practice.

The AIMI Center develops artificial intelligence methods that enable computer systems to draw precise and complex inferences directly from image information and associated clinical data, augmenting the skills of human imaging professionals. Dr. Langlotz has authored over 100 scholarly publications and the book, “The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals”. He led the development of the RadLex standard terminology for radiology report information, a national standard for imaging exam codes, and a library of radiology report templates that have been downloaded over 5 million times. Dr. Langlotz is a past president of the Radiology Alliance for Health Services Research (RAHSR) and the Society for Imaging Informatics in Medicine (SIIM), and a former board member of the Association of University Radiologists (AUR), the American Medical Informatics Association (AMIA) and the Society for Medical Decision Making (SMDM). He currently serves on the Board of Directors of the Radiological Society of North America (RSNA) and as president of the College of SIIM Fellows. Dr. Langlotz has founded 3 health care information technology companies, the most recent of which was acquired by Nuance Communications in 2016.