Artificial intelligence and machine learning in cardiovascular computed tomography
| Autor: | Preety Chawla, Maxine Orris, Premila Bhat, Jilan Shah, Karthik Seetharam, Deepak Asti, Tanveer P Mir, Hejmadi Prabhu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Artificial intelligence
Modality (human–computer interaction) medicine.diagnostic_test business.industry Computed tomography Minireviews Machine learning computer.software_genre Field (computer science) Cardiovascular imaging medicine Ct imaging Cardiology and Cardiovascular Medicine business computer |
| Zdroj: | World Journal of Cardiology |
| ISSN: | 1949-8462 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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