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Curtis Langlotz, MD, Radiology, Stanford, CA

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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  • Office

    300 Pasteur Dr
    Stanford, CA 94305
    Phone+1 650-723-4000

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 - 2026
  • 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

  • HPI: Resident Training Work on Decrease Among Attending Radiologists
    HPI: Resident Training Work on Decrease Among Attending RadiologistsOctober 22nd, 2024
  • Out-of-Pocket Imaging Costs May Delay Needed Care
    Out-of-Pocket Imaging Costs May Delay Needed CareOctober 15th, 2024
  • ACR Advocates for CPT Code Changes
    ACR Advocates for CPT Code ChangesSeptember 26th, 2024
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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