Artificial Intelligence in Nuclear Medicine.
artificial intelligence
deep learning
machine learning
medical imaging
nuclear medicine
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:
09 2019
09 2019
Historique:
received:
01
04
2019
accepted:
16
05
2019
entrez:
5
9
2019
pubmed:
5
9
2019
medline:
13
6
2020
Statut:
ppublish
Résumé
Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the other. In this review, we provide a conceptual classification and a brief summary of the technical fundamentals of AI. Possible applications are discussed on the basis of a typical work flow in medical imaging, grouped by planning, scanning, interpretation, and reporting. The main limitations of current AI techniques, such as issues with interpretability or the need for large amounts of annotated data, are briefly addressed. Finally, we highlight the possible impact of AI on the nuclear medicine profession, the associated challenges and, last but not least, the opportunities.
Identifiants
pubmed: 31481587
pii: jnumed.118.220590
doi: 10.2967/jnumed.118.220590
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
29S-37SInformations de copyright
© 2019 by the Society of Nuclear Medicine and Molecular Imaging.