Charles E Kahn - Faculty Biosketch

Charles E Kahn Jr., MD, MS, FACR

Professor of Radiology at the Hospital of the University of Pennsylvania

Vice Chairman, Department of Radiology, University of Pennsylvania

Department: Radiology

Contact information

Department of Radiology
Perelman School of Medicine
University of Pennsylvania
3400 Spruce Street - 1 Silverstein
Philadelphia, PA 19104

Office: 215-662-3032
Fax: 215-662-7011

Email:
charles.kahn@uphs.upenn.edu

Publications

Search PubMed for articles

Links
Search PubMed for articles
RSNA Radiology Report Template Library -- Best-practice radiology reporting templates.
RadElement: Common Data Elements for Radiology. An initiative of RSNA and ACR to promote interoperable and discoverable data in radiology.
Radiology: Artificial Intelligence -- the leading scientific journal on AI in radiology, published by RSNA.
Radiology Gamuts Ontology: An ontology of 16,912 diseases, interventions, and imaging findings with their causal relationships.

Education:
BA (Mathematics)
University of Wisconsin, Madison, 1981.
MD (Doctor of Medicine)
University of Illinois College of Medicine at Chicago, 1985.
MS (Computer Sciences)
University of Wisconsin, Madison, 2003.

Post-Graduate Training
Residency in Radiology, University of Chicago Medical Center, 1985-1989.

Certifications
National Board of Medical Examiners, 1986.
American Board of Radiology (Diagnostic Radiology), 1989.

Permanent link

> Perelman School of Medicine > Faculty > Details

Selected Publications

Tejani AS, Elhalawani H, Moy L, Kohli M, Kahn CE Jr: Artificial intelligence and radiology education. Radiology: Artificial Intelligence 5(1): e220084, Nov 2022.

Koh DM, Papanikolaou N, Bick U, Illing R, Kahn CE Jr, Kalpathi-Cramer J, Matos C, Martí-Bonmatí L, Miles A, Mun SK, Napel S, Rockall A, Sala E, Strickland N, Prior F: Artificial intelligence and machine learning in cancer imaging. Communications Medicine 2: 133, Oct 2022.

Kahn CE Jr: Hitting the mark: Reducing bias in AI systems. Radiology: Artificial Intelligence 4: e220171, Aug 2022 Notes: doi: 10.1148/ryai.220171.

Linna N, Kahn CE Jr: Applications of natural language processing in radiology: A systematic review. International Journal of Medical Informatics 163: 104779, July 2022 Notes: doi: 10.1016/j.ijmedinf.2022.104779.

Horng H, Steinkamp J, Kahn CE Jr, Cook TS: Ensemble approaches to recognize protected health information in radiology reports. Journal of Digital Imaging June 2022 Notes: https://doi.org/10.1007/s10278-022-00673-0.

Kahn CE Jr: Analysis of causal relationships in integrated ontologies of diseases, phenotypes, and radiological diagnosis. Studies in Health Technology and Informatics 290: 258-262, June 2022 Notes: doi:10.3233/SHTI220074.

Staziaki PV, Yi PH, Li MD, Daye D, Kahn CE, Gichoya JW: The Radiology: Artificial Intelligence Trainee Editorial Board: Initial experience and future directions. Academic Radiology May 2022 Notes: doi: 10.1016/j.acra.2022.04.010.

Sebro R, Kahn CE Jr: Causal associations among diseases and imaging findings in radiology reports. Studies in Health Technology and Informatics 294: 411-412, May 2022 Notes: doi:10.3233/SHTI220487.

Chepelev LL, Kwan D, Kahn CE Jr, Filice RW, Wang KC: Ontologies in the new computational age of radiology: RadLex for semantics and interoperability in imaging workflows. RadioGraphics Page: (in press), 2022.

Linguraru MG, Maier-Hein L, Summers RM, Kahn CE Jr: RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI--Radiologists and Data Scientists Working Together. Radiology Artificial Intelligence 3(6): e210248, Nov 2021 Notes: doi: 10.1148/ryai.2021210248.