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The current state of knowledge on imaging informatics: a survey among Spanish radiologists.

Authors :
Eiroa, Daniel
Antolín, Andreu
Fernández del Castillo Ascanio, Mónica
Pantoja Ortiz, Violeta
Escobar, Manuel
Roson, Nuria
Source :
Insights into Imaging; 3/2/2022, Vol. 13 Issue 1, p1-12, 12p
Publication Year :
2022

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 consider that they should pursue academic training in medical informatics and new technologies, and 92.9% of them reckon 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18694101
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
Insights into Imaging
Publication Type :
Academic Journal
Accession number :
156295949
Full Text :
https://doi.org/10.1186/s13244-022-01164-0