2021/03/01 by Jens Schneider, Schneider, Jens, Marco Agus +1
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.CY
paper · pdf · doi:10.48550/arxiv.2103.01149
This is the authors' preprint of a chapter accepted for publication in "Multiple Perspectives on Artificial Intelligence in Healthcare", M. Househ, E. Borycki, A. Kushniruk (Eds.), Springer, 2021, ISBN 978-3-030-67303-1, url: https://www.springer.com/gp/book/9783030673024, to appear. For the final and definitive version, kindly refer to above reference
arxiv created 2021/03/01 · openalex publication_date 2021/03/01 · arxiv updated 2021/03/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this chapter, we reflect on the use of Artificial Intelligence (AI) and its acceptance in clinical environments. We develop a general view of hindrances for clinical acceptance in the form of a pipeline model combining AI and clinical practise. We then link each challenge to the relevant stage in the pipeline and discuss the necessary requirements in order to overcome each challenge. We complement this discussion with an overview of opportunities for AI, which we currently see at the periphery of clinical workflows.