Penn Medicine Provider
Radiology
Hersh Sagreiya, MD
Accepting new patients
Sees patients age 18 and up

About me

  • Assistant Professor of Radiology at the Hospital of the University of Pennsylvania

Physician-scientist, with clinical work in Abdominal Imaging and research in Informatics and Machine Learning.

Education and training

  • Medical School: Stanford University School of Medicine
  • Residency: Abington Memorial Hospital
  • Residency: University of Pittsburgh Medical Center
  • Fellowship: Stanford University Medical Center

Insurance accepted

My Locations

Penn Medicine hospital privileges

  • Hospital of the University of Pennsylvania: Has privileges to treat patients in the hospital.
  • Pennsylvania Hospital: Has privileges to treat patients in the hospital.
  • Penn Presbyterian Medical Center: Has privileges to treat patients in the hospital.
  • Penn Medicine Rittenhouse Long-Term Acute Care Hospital
  • Chester County Hospital: Has privileges to treat patients in the hospital.
Dr. Sagreiya is a Penn Medicine physician.

Qualifications and experience

My research

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: 2025


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: 2025


Barinov, L., Baloch, Z., Langer, J., Sagreiya, H. Deep learning-based risk stratification of indolent thyroid nodules via ultrasound. , American Roentgen Ray Society: 2025


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, 38(1): 2025


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: 2025


Escamilla-OcaƱas, 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): 2025,e70017


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: 2024


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: 2024


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: 2024


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: 2024


View all publications