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Artificial Intelligence in Radiology : A Qualitative Study on Imaging Specialists' Perspectives

Title data

Buck, Christoph ; Hennrich, Jasmin ; Kauffmann, Anna Lina:
Artificial Intelligence in Radiology : A Qualitative Study on Imaging Specialists' Perspectives.
In: Proceedings of the 42th International Conference on Information Systems, ICIS 2021. - Austin, Texas , 2021
ISBN 978-1-7336325-9-1

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

Artificial intelligence (AI) applications are particularly promising in the field of medical imaging. Especially in radiology, research presents various AI uses cases, highlighting AI applications' potentials to improve the quality and efficiency of healthcare. Further, despite numerous research projects of AI applications, an investigation from the practical point of view regarding AI applications lacks behind. Consequently, little is known about imaging specialists’ perspective on AI applications. Following the Grounded Theory Methodology, we conducted 15 semi-structured interviews with imaging specialists. We derived five opportunities and six concerns representing imaging specialists’ perspective on AI applications.

Further data

Item Type: Article in a book
Refereed: Yes
Additional notes: Paper Number 2515
Keywords: Grounded theory; artificial intelligence; medical imaging; healthcare
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management > Chair Business Administration VII - Information Systems Management - Univ.-Prof. Dr. Torsten Eymann
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 08 Dec 2021 09:26
Last Modified: 08 Dec 2021 10:27
URI: https://eref.uni-bayreuth.de/id/eprint/68090