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Document type:
Journal Article; Review
Author(s):
Föllmer, Bernhard; Williams, Michelle C; Dey, Damini; Arbab-Zadeh, Armin; Maurovich-Horvat, Pál; Volleberg, Rick H J A; Rueckert, Daniel; Schnabel, Julia A; Newby, David E; Dweck, Marc R; Guagliumi, Giulio; Falk, Volkmar; Vázquez Mézquita, Aldo J; Biavati, Federico; Išgum, Ivana; Dewey, Marc
Title:
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.
Abstract:
Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and has the potential to improve the identification and analysis of vulnerable or high-risk atherosclerotic plaques in coronary arteries, leading to advances in the treatment of coronary artery disease. However, coronary plaque analysis is challenging owing to cardiac and respiratory motion, as well as the small size of cardiovascular structures. Moreover, the analysis of coronary imaging data is time-con...     »
Journal title abbreviation:
Nat Rev Cardiol
Year:
2024
Journal volume:
21
Journal issue:
1
Pages contribution:
51-64
Fulltext / DOI:
doi:10.1038/s41569-023-00900-3
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37464183
Print-ISSN:
1759-5002
TUM Institution:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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