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Curtis Langlotz, MD, Radiology, Stanford, CA, Stanford Health Care

CurtisLanglotzMDPhD

Radiology Stanford, CA

Thoracic Imaging

Professor of Radiology and Biomedical Informatics and Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford University

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Education & Training

  • University of Pennsylvania Health System
    University of Pennsylvania Health SystemResidency, Radiology-Diagnostic, 1990 - 1994
  • University of Pennsylvania Health System
    University of Pennsylvania Health SystemInternship, Internal Medicine, 1989 - 1990
  • Stanford University School of Medicine
    Stanford University School of MedicineClass of 1989

Certifications & Licensure

  • CA State Medical License
    CA State Medical License 2014 - 2024
  • PA State Medical License
    PA State Medical License 1993 - 2014
  • American Board of Radiology Diagnostic Radiology

Awards, Honors, & Recognition

  • Fellow American College of Medical Informatics
  • Fellow Society for Imaging Informatics in Medicine

Clinical Trials

Publications & Presentations

PubMed

Journal Articles

  • Deep Learning for Chest Radiograph Diagnosis: A Retrospective Comparison of the CheXNeXt Algorithm to Practicing Radiologists  
    Curtis P Langlotz, Safwan S Halabi, Matthew P Lungren, Timothy J Amrhein, David A Mong, Francis G Blankenberg, Jayne Seekins, PLoS One
  • The LOINC RSNA Radiology Playbook - a Unified Terminology for Radiology Procedures  
    Swapna Abhyankar, Daniel J Vreeman, Curtis P Langlotz, Daniel L Rubin, Journal of the American Medical Informatics Association

Authored Content

  • Building Better Diagnostic Standards for Medical AISeptember 2021

Press Mentions

  • Building Better Diagnostic Standards for Medical AI
    Building Better Diagnostic Standards for Medical AISeptember 30th, 2021
  • Will Artificial Intelligence Replace Doctors?
    Will Artificial Intelligence Replace Doctors?July 9th, 2019
  • Report Sets Priorities for Bringing AI to Radiology, Clinical Practice
    Report Sets Priorities for Bringing AI to Radiology, Clinical PracticeJune 10th, 2019
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Grant Support

  • Development Of A Knowledge-Based Image Reporting SystemNational Institute Of Biomedical Imaging And Bioengineering2002–2003
  • Development Of A Knowledge-Based Image Reporting SystemNational Library Of Medicine2000
  • Iterative Modeling And Evaluation Of The Clinical And Economic Outcomes Of PACNational Cancer Institute1996–2000
  • Computer-Based Explanation Methods For Decision ModelsNational Library Of Medicine1996–1998

Hospital Affiliations