Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.
artificial intelligence
deep learning
implementation
Journal
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
ISSN: 1535-5667
Titre abrégé: J Nucl Med
Pays: United States
ID NLM: 0217410
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
received:
13
12
2021
revised:
18
04
2022
pubmed:
6
5
2022
medline:
4
11
2022
entrez:
5
5
2022
Statut:
ppublish
Résumé
Artificial intelligence may improve accuracy of myocardial perfusion imaging (MPI) but will likely be implemented as an aid to physician interpretation rather than an autonomous tool. Deep learning (DL) has high standalone diagnostic accuracy for obstructive coronary artery disease (CAD), but its influence on physician interpretation is unknown. We assessed whether access to explainable DL predictions improves physician interpretation of MPI.
Identifiants
pubmed: 35512997
pii: jnumed.121.263686
doi: 10.2967/jnumed.121.263686
pmc: PMC9635672
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1768-1774Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL089765
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Informations de copyright
© 2022 by the Society of Nuclear Medicine and Molecular Imaging.
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