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Titel:

Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.

Dokumenttyp:
Journal Article; Review
Autor(en):
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
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...     »
Zeitschriftentitel:
Nat Rev Cardiol
Jahr:
2024
Band / Volume:
21
Heft / Issue:
1
Seitenangaben Beitrag:
51-64
Volltext / DOI:
doi:10.1038/s41569-023-00900-3
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37464183
Print-ISSN:
1759-5002
TUM Einrichtung:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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