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.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.
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.
Byun, S., Tewkesbury, G., Beyer, C., Eddinger, K., McLauchlan, N., Tran, A., Cannon, J.W., Knollmann, F., Sagreiya, H.: Deep Learning Segmentation Compared to Volume Estimation Formula for the Quantification of Traumatic Hemothorax on Chest CT. Radiological Society of North America November 2025 Notes: Chicago, IL. Oral Presentation.
Ghonim, M., Ghonim, M., Yeung, J., McLeod, A., Sehgal, C., Sagreiya, H.: Inter-observer Agreement for Lung Ultrasound Exams: A Comparative Study of Radiologists-in-training. Society of Radiologists in Ultrasound Annual Meeting October 2025 Notes: Nashville, TN. Oral Presentation.
Jang, A.M., Duda, J.T., Borthakur, A., Gee, J.C., Carson, C.C., Verma, A., Rader, D.J., Kahn, C.E., Witschey, W.R., Sagreiya, H.: Genotypic and Phenotypic Insights from AI-Driven CT Segmentation for Opportunistic Low Bone Density Detection. SIIM-CAIMI 2025 Conference on Artificial Intelligence in Medical Imaging October 2025 Notes: Irvine, CA. Oral Presentation.
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 September 2025 Notes: DOI: 10.1002/jmri.70115. Editorial.
Orangi-Fard, N., Bogdan, A., Sagreiya, H.: Development of Machine-Learning Based Algorithms for Remote Respiratory Disease Monitoring and Assessment. Military Medicine 190(Supplement_2): 814-820, September 2025 Notes: DOI: 10.1093/milmed/usaf357.
Yao, M.S., Chae, A., Kahn, C.E., Saraiya, P., Kahn, C.E., Witschey, W.R., Gee, J.C., Sagreiya, H.*, Bastani, O.*: Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria. Nature Communications Medicine. Nature Portfolio, August 2025 Notes: *Equal contribution. DOI: 10.1038/s43856-025-01061-9. This article was picked up by Aunt Minnie: https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15752498/generative-ai-improves-clinical-decisionmaking-in-the-ed.
Sagreiya, H.: Can Artificial Intelligence Doom a Radiologist in Malpractice Cases, and Can This Risk be Mitigated? American Journal of Roentgenology Aug 2025 Notes: Invited Commentary. Accepted. DOI: 10.2214/AJR.25.33720. Epub ahead of print.