Hersh Sagreiya, MD

faculty photo
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
Office: 215-614-0351
Education:
A.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
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Description of Clinical Expertise

abdominal imaging
ultrasound

Description of Research Expertise

informatics
machine learning

Selected Publications

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., Sagreiya, H., Sehgal, C., Langer, J.E.: Improving the Diagnostic Risk Stratification of Bethesda Indeterminate Thyroid Nodules via Deep-Learning Based Inference. Radiologic Society of North America December 2024 Notes: Chicago, IL.

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.

Zhang, D.Y., Kumar, R., Dhanaliwala, A., Duda, J.T., Sagreiya, H., Gee, J.C., Kahn, C.E., Ritchie, M.E., Rader, D.J., Witschey, W.R. : The phenotypic basis of CT-derived kidney traits and their utility in predicting glomerular filtration rate. Society for Imaging Informatics in Medicine Conference on Machine Intelligence in Medical Imaging October 2024 Notes: Boston, MA. Poster.

Yao, M.S., Chae, A., 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. arXiv September 2024 Notes: https://doi.org/10.48550/arXiv.2409.19177.

Sagreiya, H., Durot, I., Akhbardeh, A.: An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning. Computers 13(9): 227, September 2024 Notes: https://doi.org/10.3390/computers13090227.

Orangi-Fard, N., Bogdan, A., Sagreiya, H.: Machine learning-based algorithms for at-home respiratory disease monitoring and respiratory assessment. arXiv September 2024 Notes: https://doi.org/10.48550/arXiv.2409.03180.

Michael Wong, Hersh Sagreiya: Has Machine Learning Finally Provided Practical Value for the Healthcare Ecosystem? Pharmaceutical Executive August 2024 Notes: Interview, available at https://www.pharmexec.com/view/machine-learning-practical-value-healthcare-ecosystem.

Akhbardeh, A., Bogdan, A., Sagreiya, H.: Objective Dyspnea Measurement in Real-time Using a Wearable on the Forehead and AI. 2024 Military Health System Research Symposium August 2024 Notes: Kissimmee, FL.

Orangi-Fard, N., Bogdan, A., Sagreiya, H.: Development of Machine-Learning Based Algorithms for Remote Respiratory Disease Monitoring and Assessment. 2024 Military Health System Research Symposium August 2024 Notes: Kissimmee, FL.

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Last updated: 10/21/2024
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