Journal:The current state of knowledge on imaging informatics: A survey among Spanish radiologists

From LIMSWiki
Revision as of 00:01, 8 March 2022 by Shawndouglas (talk | contribs) (Created stub. Saving and adding more.)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search
Full article title The current state of knowledge on imaging informatics: A survey among Spanish radiologists
Journal Insights into Imaging
Author(s) Eiroa, Daniel; Antolín, Andreu; Ascanio, Mónica F.d.C.; Ortiz, Violeta P.; Escobar, Manuel; Roson, Nuria
Author affiliation(s) Hospital Universitario Valle de Hebrón, Hospital Universitario Nuestra Señora de Candelaria
Primary contact Email: danieldomingo dot eiroa dot idi at gencat dot cat
Year published 2022
Volume and issue 13
Page(s) 34
DOI 10.1186/s13244-022-01164-0
ISSN 1869-4101
Distribution license Creative Commons Attribution 4.0 International
Website https://insightsimaging.springeropen.com/articles/10.1186/s13244-022-01164-0
Download https://insightsimaging.springeropen.com/track/pdf/10.1186/s13244-022-01164-0.pdf (PDF)

Abstract

Background: There is growing concern about the impact of artificial intelligence (AI) on radiology and the future of the profession. The aim of this study is to evaluate general knowledge and concerns about trends on imaging informatics among radiologists working in Spain (residents and attending physicians). For this purpose, an online survey among radiologists working in Spain was conducted with questions related to knowledge about terminology and technologies, need for a regulated academic training on AI, and concerns about the implications of the use of these technologies.

Results: A total of 223 radiologists answered the survey, of whom 76.7% were attending physicians and 23.3% residents. General terms such as "AI" and "algorithm" had been heard of or read in at least 75.8% and 57.4% of the cases, respectively, while more specific terms were scarcely known. All the respondents considered that they should pursue academic training in medical informatics and new technologies, and 92.9% of them reckoned this preparation should be incorporated in the training program of the specialty. Patient safety was found to be the main concern for 54.2% of the respondents. Job loss was not seen as a peril by 45.7% of the participants.

Conclusions: Although there is a lack of knowledge about AI among Spanish radiologists, there is a will to explore such topics and a general belief that radiologists should be trained in these matters. Based on the results, a consensus is needed to change the current training curriculum to better prepare future radiologists.

Key points: Spanish radiologists desire to delve deeper into imaging informatics. Patient safety and adaptation to new technologies are the main concerns. A change on radiology education is needed to include artificial intelligence.

Keywords: artificial intelligence, medical informatics, medical education, surveys and questionnaires, radiology

Introduction

References