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Artificial intelligence in adrenal imaging: A critical review of current applications.

Authors :
Barat M
Gaillard M
Cottereau AS
Fishman EK
AssiƩ G
Jouinot A
Hoeffel C
Soyer P
Dohan A
Source :
Diagnostic and interventional imaging [Diagn Interv Imaging] 2023 Jan; Vol. 104 (1), pp. 37-42. Date of Electronic Publication: 2022 Sep 24.
Publication Year :
2023

Abstract

In the elective field of adrenal imaging, artificial intelligence (AI) can be used for adrenal lesion detection, characterization, hypersecreting syndrome management and patient follow-up. Although a perfect AI tool that includes all required steps from detection to analysis does not exist yet, multiple AI algorithms have been developed and tested with encouraging results. However, AI in this setting is still at an early stage. In this regard, most published studies about AI in adrenal gland imaging report preliminary results that do not have yet daily applications in clinical practice. In this review, recent developments and current results of AI in the field of adrenal imaging are presented. Limitations and future perspectives of AI are discussed.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interest in relation with this article.<br /> (Copyright © 2022. Published by Elsevier Masson SAS.)

Details

Language :
English
ISSN :
2211-5684
Volume :
104
Issue :
1
Database :
MEDLINE
Journal :
Diagnostic and interventional imaging
Publication Type :
Academic Journal
Accession number :
36163169
Full Text :
https://doi.org/10.1016/j.diii.2022.09.003