This paper is in the following e-collection/theme issue:
Viewpoints and Perspectives in AI (6) Applications of AI (104) Artificial Intelligence (1421) Imaging Informatics (200) Viewpoints on and Experiences with Digital Technologies in Health (83) Viewpoint and Opinions on Innovation in Medical Education (64) Medical imaging (32) Artificial Intelligence (96)Published on in Vol 3 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/55833, first published
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Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Authors of this article:
Vikash Gupta1 ; Barbaros Erdal1 ; Carolina Ramirez2 ; Ralf Floca3 ; Bradley Genereaux4 ; Sidney Bryson4 ; Christopher Bridge5 ; Jens Kleesiek6 ; Felix Nensa6 ; Rickmer Braren7 ; Khaled Younis8 ; Tobias Penzkofer9, 10 ; Andreas Michael Bucher11 ; Ming Melvin Qin4 ; Gigon Bae4 ; Hyeonhoon Lee12 ; M Jorge Cardoso13 ; Sebastien Ourselin13 ; Eric Kerfoot13 ; Rahul Choudhury4 ; Richard D White1 ; Tessa Cook14 ; David Bericat4 ; Matthew Lungren15 ; Risto Haukioja4 ; Haris Shuaib16There are no citations yet available for this article according to Crossref .