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Kirti Magudia

Assistant Professor in the Department of Radiology
Radiology, Abdominal Imaging
Department of Radiology, DUMC 3808, Durham, NC 27710
Department of Radiology, 3808 DUMC, Durham, NC 27710

Overview


Kirti Magudia, MD, PhD is an Assistant Professor of Radiology at Duke University School of Medicine. She completed fellowship in abdominal imaging and ultrasound at the University of California, San Francisco and Diagnostic Radiology Residency at Brigham & Women's Hospital. Her research centers on high-level applications of machine learning in radiology, including CT-based body composition analysis and prostate MR, which was facilitated by 7 dedicated months at the MGH/BWH Center for Clinical Data Science and a year long T32 research fellowship in the Biomedical Imaging for Clinical Scientists Program at UCSF. She was the founding resident chair of the Brigham and Women’s Hospital Women in the Radiology Program and has extensively advocated for family-friendly trainee policies. Dr. Magudia is a graduate of the Tri-institutional MD/PhD program of Weill Cornell, Sloan-Kettering, and Rockefeller University, where she completed her Ph.D. in cell and cancer biology in the laboratory of Alan Hall developing a novel 3D cell culture model of colon tumorigenesis.

Current Appointments & Affiliations


Assistant Professor in the Department of Radiology · 2021 - Present Radiology, Abdominal Imaging, Radiology

Recent Publications


Paid Family and Medical Leave Policies in Academic Radiology and Radiation Oncology Departments: A SCARD and SCAROP Survey.

Journal Article J Am Coll Radiol · May 8, 2026 BACKGROUND: Paid family and medical leave (PFML) is increasingly recognized as an important component of physician well-being, recruitment, and retention. However, the implementation, utilization, and clarity of PFML policies within academic radiology and ... Full text Link to item Cite

Truth-based physics informed estimation of material composition in spectral CT in terms of density and effective atomic number.

Journal Article Phys Med Biol · February 13, 2026 Objective.Spectral computed tomography (CT) data from photon-counting CT (PCCT) enables material decomposition. Mechanistic approaches such as maximum likelihood estimation are noise sensitive. Deep learning alternatives mitigate this issue, but their accu ... Full text Link to item Cite

American association for women in radiology (AAWR): Official statement regarding paid family and medical leave (PFML).

Journal Article Clin Imaging · November 2025 Physician well-being is essential to high-quality patient care, yet the lack of universally available paid family and medical leave (PFML) in the United States undermines this principle. The dynamic interplay between work and personal responsibilities-espe ... Full text Link to item Cite
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Education


Cornell University, Weill Medical College · 2014 M.D.
Cornell University, Weill Medical College · 2012 Ph.D.
University of California, Berkeley · 2004 B.Sc.