Christoph Ilsuk Lee MD MS

Abdominal Imaging

Professor, Radiology, University of Washington School of Medicine

Summary

I am a faculty member at the University of Washington School of Medicine in the department of radiology, with joint or adjunct appointments at the University of Washington School of Public Health, Hutchinson Institute for Cancer Outcomes Research, and the Comparative Effectiveness, Cost and Outcomes Research Center. I am a former Robert Wood Johnson Clinical Scholar, with fellowship training in health policy research. My research interests include evaluating both the cost-effectiveness and comparative effectiveness of emerging imaging technologies.

Robert Wood Johnson Foundation Clinical Scholars ProgramHealth Policy, 2010 - 2012
Stanford Health Care-Sponsored Stanford UniversityResidency, Radiology-Diagnostic, 2006 - 2010
University of HawaiiInternship, Transitional Year, 2005 - 2006
Yale School of MedicineClass of 2005
Princeton UniversityAB, cum laude, 1994 - 1998

Mentor of the Year University of Washington (Radiology), 2015
ACS Mentored Research Scholar American Cancer Society, 2015
Best Article of 2013 - Health Services Research & Policy Journal of the American College of Radiology, 2013
Best Article of 2012 - Practice Management Journal of the American College of Radiology, 2012
E. Stephen Amis, Jr., M.D., Fellowship in Quality and Safety American College of Radiology, 2011
Excellence in Medicine Leadership Award American Medical Association, 2009
Farr Scholar Excellence in Research Yale Medical School, 2005
Join now to see all

PubMed

Are AI chatbots concordant with evidence-based cancer screening recommendations?
Brooke Nickel, Julie Ayre, M Luke Marinovich, David P Smith, Karen Chiam
Patient Education and Counseling. 2025-05-01
Establishing the Evidence Needed for AI-driven Mammography Screening.
Hannah S Milch, Christoph I Lee
Radiology. Artificial Intelligence. 2025-05-01
Identifying Who Is at Risk of Interval Breast Cancers.
Christoph I Lee, Kathryn P Lowry
JAMA Oncology. 2025-03-27

Journal Articles

Comparative Access to and Use of Digital Breast Tomosynthesis Screening by Women’s Race/Ethnicity and Socioeconomic Status
Christoph I Lee, Karla Kerlikowske, JAMA Network Open
Screening Performance of Digital Breast Tomosynthesis vs Digital Mammography in Community Practice by Patient Age, Screening Round, and Breast Density
Kathryn P Lowry, Janie M Lee, Sally Herschorn, Christoph I Lee, JAMA Network Open
Should This Woman with Dense Breasts Receive Supplemental Breast Cancer Screening?: Grand Rounds Discussion from Beth Israel Deaconess Medical Center
Risa B Burns, Joann G Elmore, Christoph I Lee, Gerald W Smetana, Annals of Internal Medicine

Other

The Value of Outpatient Imaging-Based Cancer Screening Episodes
Christoph Lee, MD, Journal of General Internal Medicine
https://www.doximity.com/articles/7c001a8e-e95e-4913-ab15-821383bb39fa
UpToDate, Wolters Kluwer Health - 2013-04-01

Biopsies Confirm a Breast Cancer Diagnosis After an Abnormal Mammogram but Structural Racism May Lead to Lengthy DelaysJuly 2022
Screening Performance of Digital Breast Tomosynthesis vs Digital Mammography in Community Practice by Patient Age, Screening Round, and Breast DensityJuly 2020

New Federal Mandate on Breast Density: Experts Provide Essential Guidance for Clinicians and PatientsMarch 3rd, 2025
Racial Disparities Seen in Care After Abnormal MammogramsFebruary 18th, 2025
Cancer Screening Performance Improved with Digital Breast TomosynthesisApril 26th, 2023
Join now to see all

Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical TranslationUNIVERSITY OF WASHINGTON2022–2027
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical TranslationUNIVERSITY OF WASHINGTON2022–2027
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical TranslationUNIVERSITY OF WASHINGTON2022–2027
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and OutcomesUNIVERSITY OF WASHINGTON2021–2026
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical TranslationUNIVERSITY OF WASHINGTON2020–2024