Hersh Sagreiya, MD
Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Active Medical Staff, Penn Presbyterian Medical Center, Dept. of Radiology
Active Medical Staff, Chester County Hospital, Dept. of Radiology
Active Medical Staff, Pennsylvania Hospital, Dept. of Radiology
Attending, Hospital of the University of Pennsylvania, 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
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-614-0351
Publications
Education:
A.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
Permanent linkA.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
Description of Clinical Expertise
abdominal imagingultrasound
Description of Research Expertise
informaticsmachine learning
Selected Publications
Yeung, J., Sehgal, C., Sagreiya, H.: Lung Ultrasound: Utility and Role in Differentiating Alveolar-Interstitial Syndromes. American Roentgen Ray Society 2026 April 2026 Notes: Pittsburgh, PA. Educational Exhibit.Tran, R.H., Raghupathy, P., Hazim, M., Thompson, E., Swago, S., Bhattaru, A., MacLean, M., Duda, J.T., Gee, J., Kahn, C., Rader, D.J., Borthakur, A., Witschey, W.R., Sagreiya, H.: Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans. Diabetes, Obesity and Metabolism Page: 1-10, February 2026 Notes: Published online February 18, 2026. DOI: 10.1111/dom.70557.
Till, J.E., Gal-Rosenberg, O., Gilberto, S.G., Seewald, N.J., Ballinger, D.G., Samberg, H.E., Yin, M.R., Wang, Q., Cannas, S., Kim, K.N., Tien, K., Sawi, M., Madineedi, V., Furniss, S., Gocheva, V., Nowak, J., Brais, L.K., Yuan, C., Rosenthal, M.H., Roses, R., DeMatteo, R., Lee, M.K., Vollmer, C., Sagreiya, H., O’Hara, M.H., Shemer, R., Wolpin, B., Dor, Y., Carpenter, E.L.: Plasma cell-free DNA markers predict occult metastases in patients with resectable pancreatic ductal adenocarcinoma. Clinical and Translational Medicine. Wiley, 16(1): e70573, January 2026 Notes: DOI: 10.1002/ctm2.70573.
Meng, S., Sagreiya, H., Orangi-Fard, N.: Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States. Advances in Respiratory Medicine 94(1): 5, January 2026 Notes: DOI: 10.3390/arm94010005.
Sundaram, K.M., Sagreiya, H., Rosen, M.A.: Editorial for “Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior-Data Fitted Network-Based Radiomics Model From MRI.” Journal of Magnetic Resonance Imaging 63(1): 113-114, January 2026 Notes: Editorial. DOI: 10.1002/jmri.70115.
Byun, S., Sagreiya, H.: Hemothorax Quantification with AI: Background, Current Research, and Future Frontiers. Chest Imaging - Science and Practice. Knollmann and Rizi (eds.). Springer Nature, 2026 Notes: In press. Book chapter.
Zhuang, R., Borthakur, A., Kahn, C.E., Duda, J., Rader, D., Gee, J.C., Witschey, W.R., Sagreiya, H.: Application of Deep Learning-Based CT Quantification of Muscle, Visceral Fat, and Intramuscular Fat to Identify Laboratory and Clinical Risk Factors for Sarcopenia. Radiological Society of North America December 2025 Notes: Chicago, IL. Poster Presentation.
Tran, R.H., Raghupathy, P., Hazim, M., Thompson, E., Swago, S., Bhattaru, A., MacLean, M., Duda, J.T., Gee, J., Kahn, C., Rader, D.J., Borthakur, A., Witschey, W.R., Sagreiya, H.: Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans. MedRxiv December 2025 Notes: https://doi.org/10.64898/2025.12.16.25342409.
Mehdiratta, G., Duda, J.T., Elahi, A., Borthakur, A., Chatterjee, N., Gee, J.C., Rader, D.J., MacLean, M.T., Serper, M., Zhang, D., Sagreiya, H., Kahn, C.E., Witschey, W.R.: A Multi-Hospital Study of Automated Opportunistic Screening for Hepatic Steatosis. Radiological Society of North America December 2025 Notes: Chicago, IL. Oral Presentation.
Sagreiya, H.: Reply to “Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.” American Journal of Roentgenology November 2025 Notes: Letter. Published Online. DOI: 10.2214/AJR.25.34161.