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  3. A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.

A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.

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DOI
10.7892/boris.135291
Publisher DOI
10.1016/j.ejrad.2019.108742
PubMed ID
31734640
Abstract
PURPOSE

To evaluate the opinion and assessment of radiologists, surgeons and medical students on a number of important topics regarding the future of radiology, such as artificial intelligence (AI), turf battles, teleradiology and 3D-printing.

METHOD

An online questionnaire was created using the SurveyMonkey platform targeting radiologists, students and surgeons throughout the German speaking part of Switzerland. A total of 170 people participated in the survey (59 radiologists, 56 surgeons and 55 students). Statistical analysis was carried out using the Kruskal-Wallis test with Dunn's multiple comparison post-hoc tests.

RESULTS

While the majority of participants agreed that AI should be included as a support system in radiology (Likert scale 0-10: Median value 8), surgeons were less supportive than radiologists (p = 0.001). Students saw a potential threat of AI as more likely than radiologists did (p = 0.041). When asked whether they were concerned about "turf losses" from radiology to other disciplines, radiologists were much more likely to agree than students (p < 0.001). Of the students that do not intend to specialize in radiology, 26 % stated that AI was one of the reasons. Surgeons advocate the use of teleradiology.

CONCLUSIONS

With regard to AI, radiologists expect their workflow to become more efficient and tend to support the use of AI, whereas medical students and surgeons tend to be more skeptical towards this technology. Medical students see AI as a potential threat to diagnostic radiologists, while radiologists themselves are rather afraid of turf losses.
Date Issued
2019-12
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Subjects
Medical – surveys - questionnaires Radiology – artificial intelligence - students
Language(s)
en
Author(s)
van Hoek, Jasper  
Institut für Anatomie  
Huber, Adrian Thomas  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Leichtle, Alexander
Härmä, Kirsi Hannele  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Hilt, Daniella
von Tengg-Kobligk, Hendrik  orcid-logo
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Heverhagen, Johannes  orcid-logo
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Pöllinger, Alexander  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Additional Credits
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Institut für Anatomie  
Journal
European journal of radiology
Publisher
Elsevier
ISSN
1872-7727
Access(Rights)
restricted
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