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
Radiology: Artificial Intelligence -- the leading scientific journal on AI in radiology, published by RSNA.
RadElement: Common Data Elements for Radiology. An initiative of RSNA and ACR to promote interoperable and discoverable data in radiology.
RSNA Radiology Report Template Library -- Best-practice radiology reporting templates.
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

Cacciamani GE, Chu TN, Sanford DI, Abreu A, Duddalwar V, Oberai A, Kuo CJ, Liu X, Denniston AK, Vasey B, McCulloch P, Wolff RF, Mallett S, Mongan J, Kahn CE Jr, Sounderajah V, Darzi A, Dahm P, Moons KGM, Topol E, Collins GS, Moher D, Gill IS, Hung AJ: PRISMA-AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare. Nature Medicine 29(1): 14-15, 2023 Notes: doi: 10.1038/s41591-022-02139-w.

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 43: e220098, 2022 Notes: doi: 10.1148/rg.220098.