Hersh Sagreiya, MD

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Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Attending, Hospital of the university of Pennsylvania, Dept. of Radiology
Attending, Chester County Hospital, Dept. of Radiology
Attending, Pennsylvania Hospital, Dept. of Radiology
Attending, Penn Presbyterian Medical Center, Dept. of Radiology
Department: Radiology

Contact information
Hospital of University of Pennsylvania
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-614-0351
A.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
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Description of Clinical Expertise

abdominal imaging

Description of Research Expertise

machine learning

Selected Publications

Tran, R., Raghupathy, P., Witschey, W.R., Sagreiya, H.: Abdominal Adipose Risk Determinants in Gastrointestinal Cancers as Assessed by CT Scans. 2024 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM) June 2024 Notes: National Harbor, MD.

Sagreiya, H., Borthakur, A., Duda, J., Chatterjee, N., Gee, J., Kahn, C.E., Witschey, W.R.: Surveying radiologists to determine the value of AI-based automated measurements and reporting of organ volumes in the clinical workflow. American College of Radiology 2024 April 2024 Notes: Washington, DC.

Sagreiya, H., Sundaram, K., Sohn, J., Yadav, P.: An Introduction to MR Sequences Used in Oncology with Application to MR-Linac. A chapter in: A Practical Guide to MR-Linac: Technical Innovation and Clinical Implication. Das, Alongi, Yadav, and Mittal (eds.). Springer, March 2024 Notes: Book chapter.

Elbanan, M., Sagreiya, H.: Artificial Intelligence in Trauma Imaging. A chapter in: Trauma Computed Tomography. Knollman (eds.). Springer, Page: 313-331, February 2024 Notes: Book Chapter.

Sagreiya, H.: Finding the Pieces to Treat the Whole: Using Radiomics to Identify Tumor Habitats. Radiology: Artificial Intelligence 6(2): e230547, Feb 2024 Notes: Invited Commentary.

Song, I., Thompson, E.W., Verma, A., MacLean, M.T., Duda, J., Elahi, A., Tran, R., Raghupathy, P., Swago, S., Hazim, M., Bhattaru, A., Schneider, C., Vujkovic, M., Torigian, D.A., Kahn, C.E., Gee, J.C., Borthakur, A., Morse, C., Carson, C.C., Carr, R., Jehangir, Q., Ko, Y., Litt, H., Rosen, M., Mankoff, D.A., Schnall, M.D., Shou, H., Chirinos, J., Damrauer, S.M., Serper, M., Chen, J., Rader, D.J., Penn Medicine BioBank, Witschey, W.R., Sagreiya, H. : Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis. Scientific Reports 14(1): 53, Jan 2024 Notes: DOI: 10.1038/s41598-023-49470-x.

Chae, A., Yao, M.S., Sagreiya, H., Goldberg, A.D., Chatterjee, N., MacLean, M.T., Duda, J., Elahi, A., Borthakur, A., Ritchie, M.D., Rader, D., Kahn, C.E., Witschey, W.R., Gee, J.C.: Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology. Radiology 310(1): e223170, Jan 2024 Notes: DOI: 10.1148/radiol.223170.

Mezina, A.I., Vujkovic, M., Schneider, C.V., Mukherjee, S., Park, J., Sagreiya, H., Witschey, W.R. Chang, K., Kaplan, D.E., Wangensteen, K., Rader, D.J.: Polycystic ovarian syndrome is an independent risk association for NAFLD after controlling for metabolic and genetic risk factors. The Liver Meeting November 2023 Notes: Boston, MA.

Chatterjee, N., Duda, J., Gee, J., Elahi, A., Martin, K., Doan, V., Maclean, M, Rader, D.J., Borthakur, A., Kahn, C., Sagreiya, H., Witschey, W.R.: Automated AI processing, PACS delivery, and reporting using a cloud-based system in a multihospital health system. Radiologic Society of North America November 2023 Notes: Chicago, IL.

Liu, H., Sagreiya, H., Akhbardeh, A.: Comparing Predictive Machine Learning Models’ Capacity to Objectively Predict Dyspnea. Biomedical Engineering Society October 2023 Notes: Seattle, WA.

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Last updated: 04/05/2024
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