Artificial intelligence and machine learning in cardiovascular computed tomography

Computed tomography (CT) is emerging as a prominent diagnostic modality in the field of cardiovascular imaging. Artificial intelligence (AI) is making significant strides in the field of information technology, the commercial industry, and health care. Machine learning (ML), a branch of AI, can opti...

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Detalles Bibliográficos
Autores principales: Seetharam, Karthik, Bhat, Premila, Orris, Maxine, Prabhu, Hejmadi, Shah, Jilan, Asti, Deepak, Chawla, Preety, Mir, Tanveer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Minireviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554359/
https://www.ncbi.nlm.nih.gov/pubmed/34754399
http://dx.doi.org/10.4330/wjc.v13.i10.546
Descripción
Sumario:Computed tomography (CT) is emerging as a prominent diagnostic modality in the field of cardiovascular imaging. Artificial intelligence (AI) is making significant strides in the field of information technology, the commercial industry, and health care. Machine learning (ML), a branch of AI, can optimize the performance of CT and augment the assessment of coronary artery disease. These ML platforms can automate multiple tasks, perform calculations, and integrate information from a variety of data sources. In this review article, we explore the ML in CT imaging.

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