Scholars@Duke
Kirti Magudia

Kirti Magudia

Assistant Professor in the Department of Radiology
Radiology, Abdominal Imaging
kirti.magudia@duke.edu
Department of Radiology, DUMC 3808, Durham, NC 27710
Department of Radiology, 3808 DUMC, Durham, NC 27710

Scholarly Works - Journal articles

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

Journal article J Am Coll Radiol · August 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

AI for Radiology: A Primer Part II. Interacting with AI Results.

Journal article Radiology · July 2026 As artificial intelligence (AI) tools are increasingly integrated into imaging workflows, understanding how AI results are generated and presented to the end user can equip radiologists to optimize interactions with AI results in practice. Although AI solu ... Full text Link to item Cite

Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice Demonstration.

Journal article Radiology · June 2026 The Radiology Reimagined demonstration, formerly known as Imaging AI in Practice, is presented at the Radiological Society of North America (RSNA) Annual Meeting. It highlights how interoperability and semantic standards can facilitate the integration of a ... 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

Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race.

Journal article J Am Coll Radiol · October 2025 OBJECTIVES: Differences in CT-based body composition (BC) have been observed by race. We sought to investigate whether indices reporting census block group-level disadvantage, Area Deprivation Index (ADI) and Social Vulnerability Index (SVI), age, gender, ... Full text Link to item Cite

In-silico CT simulations of deep learning generated heterogeneous phantoms.

Journal article Biomed Phys Eng Express · July 10, 2025 Current virtual imaging phantoms primarily emphasize geometric accuracy of anatomical structures. However, to enhance realism, it is also important to incorporate intra-organ detail. Because biological tissues are heterogeneous in composition, virtual phan ... Full text Link to item Cite

Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and Parameters.

Journal article Radiol Artif Intell · May 2025 Purpose To develop and evaluate an automated system for extracting structured clinical information from unstructured radiology and pathology reports using open-weight language models (LMs) and retrieval-augmented generation (RAG) and to assess the effects ... Full text Link to item Cite

RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes.

Journal article Radiol Artif Intell · January 2025 Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdominal Trauma Detection AI Challenge. Materials and Methods The competition was hosted on Kaggle and took place between July 26 and October 15, 2023. The multi ... Full text Link to item Cite

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Journal article Radiol Artif Intell · November 2024 Supplemental material is available for this article. ... Full text Link to item Cite

Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

Journal article IEEE Trans Med Imaging · July 2024 Non-invasive prostate cancer classification from MRI has the potential to revolutionize patient care by providing early detection of clinically significant disease, but has thus far shown limited positive predictive value. To address this, we present a ima ... Full text Link to item Cite

A Practical Guide for Paid Family and Medical Leave in Radiology, From the AJR Special Series on DEI.

Journal article AJR Am J Roentgenol · November 2023 Paid family and medical leave (FML) has significant benefits to organizations, including improvements in employee recruitment and retention, workplace culture, and employee morale and productivity, and is supported by evidence for overall cost savings. Fur ... Full text Link to item Cite

Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Journal article Acad Radiol · April 2023 RATIONALE AND OBJECTIVES: Early prostate cancer detection and staging from MRI is extremely challenging for both radiologists and deep learning algorithms, but the potential to learn from large and diverse datasets remains a promising avenue to increase th ... Full text Link to item Cite

American College of Radiology Paid Family/Medical Leave Policy: A Call to Action for the House of Medicine.

Journal article J Womens Health (Larchmt) · March 2023 The American College of Radiology (ACR) passed a historic paid family/medical leave (PFML) resolution at its April 2022 meeting, resolving that "diagnostic radiology, interventional radiology, radiation oncology, medical physics, and nuclear medicine pract ... Full text Link to item Cite

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.

Journal article AJR Am J Roentgenol · February 2023 BACKGROUND. CT-based body composition (BC) measurements have historically been too resource intensive to analyze for widespread use and have lacked robust comparison with traditional weight metrics for predicting cardiovascular risk. OBJECTIVE. The aim of ... Full text Link to item Cite

How to implement paid family and medical leave: A toolkit for practices.

Journal article Clin Imaging · November 2022 Paid family and medical leave policies are increasingly popular in today's competitive labor market and provide well-documented advantages to all stakeholders. Implementing paid leave for radiologists can seem daunting due to overlapping legal and institut ... Full text Link to item Cite

US lesion visibility predicts clinically significant upgrade of prostate cancer by systematic biopsy.

Journal article Abdom Radiol (NY) · March 2022 PURPOSE: To identify predictors of when systematic biopsy leads to a higher overall prostate cancer grade compared to targeted biopsy. METHODS AND MATERIALS: 918 consecutive patients who underwent prostate MRI followed by MRI/US fusion biopsy and systemati ... Full text Link to item Cite

The SCARD Fellowship Policy and the Abdominal Imaging Fellowship: A Follow-up Survey After the First Year.

Journal article Acad Radiol · February 2022 RATIONALE AND OBJECTIVES: To assess resident and fellowship program director (PD) perceptions of the abdominal radiology fellowship application process following the first cycle in which an embargo on interviews until December 1, 2019 was set according to ... Full text Link to item Cite

A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Journal article Radiol Artif Intell · January 2022 Body composition on chest CT scans encompasses a set of important imaging biomarkers. This study developed and validated a fully automated analysis pipeline for multi-vertebral level assessment of muscle and adipose tissue on routine chest CT scans. This s ... Full text Link to item Cite

Past, present, and future of abdominal radiology fellowship recruitment.

Journal article Abdom Radiol (NY) · December 2021 The authors provide a commentary on the current status of the Abdominal Radiology Fellowship recruitment process, which is not presently governed by a formal Match. Abdominal Radiology is the largest radiology subspecialty fellowship that remains outside o ... Full text Link to item Cite

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications.

Journal article J Digit Imaging · December 2021 With vast interest in machine learning applications, more investigators are proposing to assemble large datasets for machine learning applications. We aim to delineate multiple possible roadblocks to exam retrieval that may present themselves and lead to s ... Full text Link to item Cite

Medical Specialty Board Parental, Caregiver, and Medical Leave Policy Updates After 2021 American Board of Medical Specialties Mandate.

Journal article JAMA · November 9, 2021 This study assesses how member boards of the American Board of Medical Specialties (ABMS) have adhered to a 2021 ABMS policy change allowing residents a minimum of 6 weeks of parental, caregiver, and medical leave. ... Full text Link to item Cite

Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.

Journal article Radiol Artif Intell · November 2021 Artificial intelligence (AI) tools are rapidly being developed for radiology and other clinical areas. These tools have the potential to dramatically change clinical practice; however, for these tools to be usable and function as intended, they must be int ... Full text Link to item Cite

A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees.

Journal article J Digit Imaging · August 2021 Artificial or augmented intelligence, machine learning, and deep learning will be an increasingly important part of clinical practice for the next generation of radiologists. It is therefore critical that radiology residents develop a practical understandi ... Full text Link to item Cite

Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Journal article Radiology · February 2021 Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demonstrate ... Full text Link to item Cite

Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.

Journal article Radiol Artif Intell · November 2020 Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging. To develop as leaders in AI-ML, radiology residents may seek a formative data science experience. The authors piloted an elective Data Science Pathway (DSP) fo ... Full text Link to item Cite

Prospects of a Fellowship Match for Abdominal Imaging: A National Survey by the Society of Abdominal Radiology.

Journal article J Am Coll Radiol · June 2020 PURPOSE: After the Society of Chairs of Academic Radiology Departments timeline and guidelines were released for the 2021 through 2022 fellowship application cycle, the Society of Abdominal Radiology conducted a survey of residents, fellows, and abdominal ... Full text Link to item Cite