Hersh Sagreiya, MD
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
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
Zhuang, R., Sagreiya, H., Borthakur, A., Kahn, C.E., Duda, J., Gee, J.C., Witschey, W.R.: Analysis of CT imaging-derived phenotypes to determine risk factors associated with sarcopenia. American College of Radiology 2025 May 2025 Notes: Washington, DC.Farazmand, C., Mohan, S., Sagreiya, H., Luger, S., Amorosa, V., Knollmann, F.: Imaging the Patient with Neutropenic Fever from Head to Toe. American Roentgen Ray Society April 2025 Notes: San Diego, CA. Educational Exhibit.
Barinov, L., Baloch, Z., Langer, J., Sagreiya, H.: Deep learning-based risk stratification of indolent thyroid nodules via ultrasound. American Roentgen Ray Society April 2025 Notes: San Diego, CA. Oral Presentation. Senior author, presented by research mentee.
Chatterjee, N., Duda, J., Gee, J., Elahi, A., Martin, K., Doan, V., Liu, H., MacLean, M., Rader, D.J., Borthakur, A., Kahn, C.E., Sagreiya, H., Witschey, W.R.: A Cloud-Based System for Automated AI Image Analysis and Reporting. Journal of Imaging Informatics in Medicine. Springer Nature, 38(1), February 2025 Notes: E-published July 31, 2024. DOI: 10.1007/s10278-024-01200-z.
Mehdiratta, G., Duda, J.T., Elahi, A., Borthakur, A., Chatterjee, N., Gee, J., Sagreiya, H., Witschey, W.R.T., Kahn, C.E.: Automated Integration of AI Results into Radiology Reports using Common Data Elements. Journal of Imaging Informatics in Medicine. Springer Nature, January 2025 Notes: The article was picked up by Radiology Business: https://radiologybusiness.com/topics/health-it/enterprise-imaging/how-health-system-automatically-integrates-ai-results-radiology-reports?utm_source=newsletter&utm_medium=rb_news. DOI: 10.1007/s10278-025-01414-9.
Escamilla-Ocañas, C.E., Morales-Cardona, N.C., Sagreiya, H., Akhbardeh, A., Hirzallah, M.I.: Automation of Ultrasonographic Optic Nerve Sheath Diameter Measurement: A Scoping Review. Journal of Neuroimaging 35(1): e70017, January 2025 Notes: DOI: 10.1111/jon.70017.
Barinov, L., Sagreiya, H., Sehgal, C., Langer, J.E.: Improving the Diagnostic Risk Stratification of Bethesda Indeterminate Thyroid Nodules via Deep-Learning Based Inference. Radiological Society of North America December 2024 Notes: Chicago, IL. Poster.
Kim, J., Chae, A., Duda, J., Borthakur, A., Rader, D., Gee, J.C., Kahn, C.E., Witschey, W.R., Sagreiya, H.: Automated Characterization of Abdominal MRI Exams Using Deep Learning. Research Square December 2024 Notes: Preprint. The article is currently under review.
Lin, C.T., Li, S., Li, P., Jiang, X., Roshkovan, L., Kawamoto, S., Sagreiya, H., Stayman, W., Gang, G.J.: Communicating Variability in Deep Learning CT Reconstruction with Posterior Sampling. Radiological Society of North America December 2024 Notes: Chicago, IL. Oral presentation.
Zhang, D.Y., Borthakur, A., Chatterjee, N., Duda, J., Valia, R., Gee, J.C., Kahn, C.E., Sagreiya, H., Ritchie, M.D., Rader, D.J., Witschey, W.R.: Opportunistic Detection of Splenomegaly Using Automated AI-Based Measurements and Reporting of Organ Volumes in the Clinical Workflow. Society for Imaging Informatics in Medicine Conference on Machine Intelligence in Medical Imaging October 2024 Notes: Boston, MA. Oral Presentation.