News | Artificial Intelligence | May 02, 2018

Charles E. Kahn Jr. Named Editor of Radiology: Artificial Intelligence

New journal launching in 2019 will highlight emerging applications of machine learning and artificial intelligence in radiology

Charles E. Kahn Jr., M.D., M.S., will become editor of the new online journal, Radiology: Artificial Intelligence

Charles E. Kahn Jr., M.D., M.S.

May 2, 2018 – The Board of Directors of the Radiological Society of North America (RSNA) announced that Charles E. Kahn Jr., M.D., M.S., will become editor of the new online journal, Radiology: Artificial Intelligence. The new journal will highlight emerging applications of machine learning and artificial intelligence (AI) in the field of imaging across multiple disciplines. It will provide a way to keep practicing physicians and imaging researchers up to date on the best emerging science in this subspecialty.

Beginning in early 2019, the journal will be published bi-monthly and available exclusively online. RSNA members will receive a complimentary subscription as a member benefit. Original research and editorial submissions to Radiology: Artificial Intelligence will be accepted beginning summer 2018.

Kahn is professor and vice chair of the Department of Radiology at the University of Pennsylvania’s Perelman School of Medicine in Philadelphia since joining the university in 2014. He is also a senior fellow of the Institute for Biomedical Informatics and the Leonard Davis Institute of Health Economics at Penn.

Radiology: Artificial Intelligence is an exciting venture,” Kahn said. “I’m deeply honored for the opportunity to serve as this new journal’s editor, and look forward to working with our authors, reviewers and editorial team to present cutting-edge science in this rapidly growing field.”

A board-certified radiologist with a clinical specialty in abdominal imaging, Kahn’s research interests include health services, comparative effectiveness, decision support, information standards and knowledge representation.

Kahn has served as an associate editor for the journal Radiology, and as an associate editor for the American Journal of Roentgenology (AJR). He has also served as a section editor for the Yearbook of Medical Informatics, a guest editor for the Journal of the American College of Radiology (JACR), and as chair of the Publications Committee of the American Roentgen Ray Society (ARRS).

He has been a reviewer for several scientific journals, including Radiology, RadioGraphics, AJR, Academic Radiology, Journal of the American Medical Informatics Association (JAMIA), Journal of Biomedical Informatics, Journal of Digital Imaging, European Radiology and Artificial Intelligence in Medicine.

Kahn has authored or co-authored more than 110 peer-reviewed articles, and given nearly 100 invited lectures.

“With his extensive editorial experience and profound interest in the fields of artificial intelligence and machine learning, Charles Kahn is a natural fit for this role,” said Mary C. Mahoney, M.D., RSNA board liaison for publications and communications. “The RSNA Board is excited to see where he takes this important new journal.”

For more information: www.rsna.org

 

Related Content

Guerbet Showcases Diagnostic and Interventional Imaging Solutions at RSNA 2018
News | Interventional Radiology | December 12, 2018
Guerbet LLC USA highlighted new and next-level product offerings and partnerships in contrast media, injectors,...
Lunit Announces New Prominent Radiology Advisory Board Members
News | Artificial Intelligence | December 11, 2018
Medical artificial intelligence (AI) software company Lunit announced three new members of its advisory board,...
Coreline Soft Introduces AI Lung Segmentation Solution at RSNA 2018
News | Lung Cancer | December 10, 2018
December 10, 2018 — Korean image software company Coreline Soft Co. Ltd.
FDA Clears iCAD's ProFound AI for Digital Breast Tomosynthesis
Technology | Mammography | December 07, 2018
iCAD Inc. announced clearance by the U.S. Food and Drug Administration (FDA) for their latest, deep-learning, cancer...
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform
Technology | Artificial Intelligence | December 05, 2018
GE Healthcare recently announced new applications and smart devices built on Edison – a platform that helps accelerate...
Fovia Launches F.A.S.T. AI Suite for PACS
Technology | Advanced Visualization | December 05, 2018
Fovia Inc. recently announced the release of a new artificial intelligence (AI) visualization platform, F.A.S.T. AI...
Subtle Medical Receives FDA Clearance, CE Mark for SubtlePET
Technology | PET Imaging | December 05, 2018
Subtle Medical announced 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market SubtlePET. Subtle...
Fujifilm Collaborates With Lunit on AI Pilot Project
News | Artificial Intelligence | December 05, 2018
Fujifilm Medical Systems USA Inc. announced a joint collaboration with Korean-based medical artificial intelligence (AI...