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Curtis Langlotz | Stanford HAI

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peopleFaculty,Senior Fellow

Curtis Langlotz

Senior Associate Vice Provost for Research | Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (Biomedical Informatics Research), of Biomedical Data Science | Senior Fellow, Stanford HAI

Topics
Healthcare
Curt Langlotz headshot
External Bio

Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science and Senior Associate Vice Provost for Research at Stanford University. His laboratory 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. He is a Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which 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 is author of the book “The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals”. 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.

Raised in St. Paul, Minnesota, Langlotz received his undergraduate degree in Human Biology, Master’s in Computer Science, MD in Medicine, and PhD in Medical Information Science, all from Stanford University. He is a founder and past president of the Radiology Alliance for Health Services Research (RAHSR) and has served as president of the Society for Imaging Informatics in Medicine (SIIM), and the College of SIIM Fellows. He is 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 as President of the Radiological Society of North America (RSNA).

Langlotz is a recipient of the Lee B. Lusted Research Prize from the Society of Medical Decision Making and the Career Achievement Award from the Radiology Alliance for Health Services Research. He and his trainees have received numerous scientific awards, including seven best paper awards and five research career development grants. He has founded several healthcare information technology companies, including Montage Healthcare Solutions, which was acquired by Nuance Communications in 2016.

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New Horizons in Generative AI: Science, Creativity, and Society

Oct 24, 20239:00 AM - 5:00 PM
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Generative AI: Perspectives from Stanford HAI

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Toward Fairness in Health Care Training Data
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Quick ReadOct 01, 2020
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Toward Fairness in Health Care Training Data

With recent advances in artificial intelligence (AI), researchers can now train sophisticated computer algorithms to interpret medical images – often with accuracy comparable to trained physicians. Yet our recent survey of medical research shows that these algorithms rely on datasets that lack population diversity and could introduce bias into the understanding of a patient’s health condition.

Toward Fairness in Health Care Training Data

Amit Kaushal, Russ Altman, Curtis Langlotz
Quick ReadOct 01, 2020

With recent advances in artificial intelligence (AI), researchers can now train sophisticated computer algorithms to interpret medical images – often with accuracy comparable to trained physicians. Yet our recent survey of medical research shows that these algorithms rely on datasets that lack population diversity and could introduce bias into the understanding of a patient’s health condition.

Toward Fairness in Health Care Training Data
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