Health Informatics Lecture Series presents:

Title: The Future of AI in Medical Imaging
 

Speaker: Dr. Curtis Langlotz, MD, PhD., Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), Medicine (BMIR), and Biomedical Data Science. Senior Fellow at the Stanford Institute for Human-Centered AI, Standford University. Currently serves as President of the Radiological Society of North America (RSNA)

Bio: Dr. Langlotz is a renowned imaging informatics leader and committed advocate for improved clinical communication, He investigates the use of deep neural networks and other machine learning technologies to detect disease and eliminate diagnostic errors through analysis of medical images and clinical notes. His work at the AIMI Center supports over 150 Stanford faculty conducting interdisciplinary artificial intelligence research that optimizes how clinical data are used to promote health. He has published over 200 scholarly articles, and he has led many national and international efforts to improve the quality of radiology communication, including the RadLex™ terminology standard, the RadLex™ Playbook of radiology exam codes, the RSNA report template library, and a technical standard for communication of radiology templates. He serves on numerous boards and has received many awards. 

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