Hersh Sagreiya, MD

Radiology
Accepting new patients
Sees patients age 18 and up
Call 800-789-7366
Headshot of Hersh Sagreiya, MD
Penn Medicine Provider

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.

My education and training

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

Spoken languages

English
English

Insurance accepted

Please contact the practice and/or the member services department of your insurance company for specific details before receiving services. Providers may participate in some, but not all, products offered by a health plan; providers may also accept plans at some practice locations but not others.

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

Treatments and Conditions

Research

Publications

Mohajer, B., Mehdiratta, G., Duda, J., Bari, W., Elahi, A., Borthakur, A., Chatterjee, N., Gee, J., Rader, D., MacLean, M., Serper, M., Zhang, D., Sagreiya, H., Kahn, C., Witschey, W. Build or Buy? Practical Lessons from Development and Implementing an Enterprise AI Orchestrator. , Society for Imaging Informatics in Medicine 2026 Annual Meeting: 2026

Sharma, R., Goswami, P., Kahn, C., Sagreiya, H., Witschey, W. Enhancing Attending to Resident Feedback by Using LLMs Fine-Tuned to ‘Understand’ Clinical Significance: A Proof of Concept. , Society for Imaging Informatics in Medicine 2026 Annual Meeting: 2026

Barinov, L., Sagreiya, H., Scott, J. Automated Multi Planar Reconstruction of the Thyroid Gland from Ultrasound Cine Clips. , Society for Imaging Informatics in Medicine 2026 Annual Meeting: 2026

Sagreiya, H., Michel, G., Akhbardeh, A., Carvalho, B. Prospective Clinical Study for Assessing Real-Time Objective Pain Using a Signal Processing Algorithm in Conjunction with Wearable Forehead Sensors. , Journal of Clinical Anesthesia, 112: 2026,112236

Sharma, R., Beeche, C., Dong, J., Zhuang, R. Qu, H., Zhang, R., Gangaram, V., Goswami, P., Xin, J., Ballard, J., Duda, J., Kahn, C.E., Goldberg, A., Sagreiya, H., Long, Q., Chen, T., Witschey, W. DISCERN: A Clinical Impact-aware Framework for Radiology Report Comparison , MedRxiv: 2026

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, 28(5): 2026,3742-3751

Wang, E., Sagreiya, H., Escamilla-Ocanas, C., Hirzallah, M., Akhbardeh, A., Morales-Cardona, N. Machine Learning for Automated Multi-Class Segmentation and Measurement of Optic Nerve Structures. , 2026 American Institute for Ultrasound in Medicine Annual Convention: 2026

Barinov, L. Scott, J., Sagreiya, H. Towards the operationalization of artificial intelligence in thyroid ultrasound imaging. , 2026 American Institute for Ultrasound in Medicine Annual Convention: 2026

Sagreiya, H. Reply to “Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.” , American Journal of Roentgenology, 226(4): 2026,e2534161

Yeung, J., Sehgal, C., Sagreiya, H. Lung Ultrasound: Utility and Role in Differentiating Alveolar-Interstitial Syndromes. , American Roentgen Ray Society 2026: 2026

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