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Hersh Sagreiya, MD
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Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
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Active Medical Staff, Penn Presbyterian Medical Center, Dept. of Radiology
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Active Medical Staff, Chester County Hospital, Dept. of Radiology
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Active Medical Staff, Pennsylvania Hospital, Dept. of Radiology
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Attending, Hospital of the University of Pennsylvania, Dept. of Radiology
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Department: Radiology
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Contact information
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Hospital of University of Pennsylvania
20 Department of Radiology
26 Division of Abdominal Imaging
35 3400 Spruce Street
Philadelphia, PA 19104
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20 Department of Radiology
26 Division of Abdominal Imaging
35 3400 Spruce Street
Philadelphia, PA 19104
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Office: 215-614-0351
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Publications
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Links
a2 Search PubMed for articles
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a2 Search PubMed for articles
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Education:
21 9 A.B. 35 (Magna cum laude in Biochemical Sciences ) c
28 Harvard College, 2007.
21 7 MD 15 (Medicine) c
30 Stanford Medical School, 2012.
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Permanent link21 9 A.B. 35 (Magna cum laude in Biochemical Sciences ) c
28 Harvard College, 2007.
21 7 MD 15 (Medicine) c
30 Stanford Medical School, 2012.
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11 ultrasound
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17 machine learning
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Description of Clinical Expertise
22 abdominal imaging11 ultrasound
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Description of Research Expertise
1c informatics17 machine learning
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1dc 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.
2a0 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.
180 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.
195 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.
12d 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.
1af 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.
1a9 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.
1a4 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.
125 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.
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Selected Publications
11d 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.1dc 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.
2a0 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.
180 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.
195 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.
12d 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.
1af 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.
1a9 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.
1a4 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.
125 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.
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