Charles E Kahn Jr., MD, MS, FACR

Professor of Radiology at the Hospital of the University of Pennsylvania
Vice Chair, 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
Perelman School of Medicine
University of Pennsylvania
3400 Spruce Street - 1 Silverstein
Philadelphia, PA 19104
Office: 215-662-3032
Fax: 215-662-7011
Fax: 215-662-7011
Email:
charles.kahn@uphs.upenn.edu
charles.kahn@uphs.upenn.edu
Publications
Links
Search PubMed for articles
RSNA Radiology Report Template Library -- Best-practice radiology reporting templates.
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.
Radiology Gamuts Ontology: An ontology of 16,912 diseases, interventions, and imaging findings with their causal relationships.
Search PubMed for articles
RSNA Radiology Report Template Library -- Best-practice radiology reporting templates.
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.
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.
Permanent linkBA (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.
Selected Publications
Kitamura FC, Prevedello LM, Colak E, Halabi SS, Lungren MP, Ball RL, Kalpathy-Cramer J, Kahn CE Jr, Richards T, Talbott JF, Shih G, Lin HM, Andriole KP, Vazirabad M, Erickson BJ, Flanders AE, Mongan J: Lessons learned in building expertly annotated multi-institution datasets and hosting the RSNA AI challenges. Radiol Artif Intell 6(3): e230227, May 2024 Notes: https://doi.org/10.1148/ryai.230227.Prepared by: ASGE AI Task Force; Parasa S, Berzin T, Leggett C, Gross S, Repici A, Ahmad OF, Chiang A, Coelho-Prabhu N, Cohen J, Dekker E, Keswani RN, Kahn CE, Hassan C, Petrick N, Mountney P, Ng J, Riegler M, Mori Y, Saito Y, Thakkar S, Waxman I, Wallace MB, Sharma P.: Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology. Gastrointest Endosc Apr 2024 Notes: https://doi.org/10.1016/j.gie.2023.12.003.
Maier-Hein L, Reinke A, Godau P, Tizabi MD, Buettner F, Christodoulou E, Glocker B, Isensee F, Kleesiek J, Kozubek M, Reyes M, Riegler MA, Wiesenfarth M, Kavur AE, Sudre CH, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Rädsch T, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Blaschko MB, Cardoso MJ, Cheplygina V, Cimini BA, Collins GS, Farahani K, Ferrer L, Galdran A, van Ginneken B, Haase R, Hashimoto DA, Hoffman MM, Huisman M, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Karthikesalingam A, Kofler F, Kopp-Schneider A, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Mattson P, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rajpoot N, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, van Smeden M, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Van Calster B, Varoquaux G, Jäger PF.: Metrics reloaded: recommendations for image analysis validation. Nat Methods 21(2): 195-212, Feb 2024.
Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Buettner F, Cardoso MJ, Cheplygina V, Chen J, Christodoulou E, Cimini BA, Farahani K, Ferrer L, Galdran A, van Ginneken B, Glocker B, Godau P, Hashimoto DA, Hoffman MM, Huisman M, Isensee F, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Kleesiek J, Kofler F, Kooi T, Kopp-Schneider A, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rafelski SM, Rajpoot N, Reyes M, Riegler MA, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Van Calster B, Varoquaux G, Yaniv ZR, Jäger PF, Maier-Hein L: Understanding metric-related pitfalls in image analysis validation. Nat Methods 21(2): 182-194, Feb 2024.
Song I, Thompson EW, Verma A, MacLean MT, Duda J, Elahi A, Tran R, Raghupathy P, Swago S, Hazim M, Bhattaru A, Schneider C, Vujkovic M, Torigian DA, Kahn CE, Gee JC, Borthakur A, Kripke CM, Carson CC, Carr R, Jehangir Q, Ko YA, Litt H, Rosen M, Mankoff DA, Schnall MD, Shou H, Chirinos J, Damrauer SM, Serper M, Chen J, Rader DJ; Penn Medicine BioBank; Witschey WRT, Sagreiya H.: Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis. Sci Rep 14: 53, Jan 2024.
Kahn CE Jr: Clinical evaluation of a lay-language radiology glossary integrated into an electronic health record system. Stud Health Technol Inform 310: 1101-1105, Jan 2024.
Chae A, Yao MS, Sagreiya H, Goldberg AD, Chatterjee N, MacLean MT, Duda J, Elahi A, Borthakur A, Ritchie MD, Rader D, Kahn CE, Witschey WR, Gee JC.: Strategies for implementing machine learning algorithms in the clinical practice of radiology. Radiology 310(1): e223170, Jan 2024.
Guermazi A, Omoumi P, Tordjman M, Fritz J, Kijowski R, Regnard NE, Carrino J, Kahn CE Jr, Knoll F, Rueckert D, Roemer FW, Hayashi D.: How AI may transform musculoskeletal imaging. Radiology 310(1): e230764, Jan 2024.
Kahn CE Jr: Celebrating the journal's first 5 years. Radiol Artif Intell 2024.
Tejani AS, Klontzas ME, Gatti AA, Mongan JT, Moy L, Park SH, Kahn CE Jr; CLAIM 2024 Update Panel.: Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiol Artif Intell 2024.