Academic Journal
Artificial Intelligence in Cardiac Imaging
| العنوان: | Artificial Intelligence in Cardiac Imaging |
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| المؤلفون: | Karthik Seetharam, Sirish Shrestha, Partho P Sengupta |
| المصدر: | US Cardiology Review, Vol 13, Iss 2, Pp 110-116 (2020) |
| بيانات النشر: | Radcliffe Medical Media, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Diseases of the circulatory (Cardiovascular) system |
| مصطلحات موضوعية: | Diseases of the circulatory (Cardiovascular) system, RC666-701 |
| الوصف: | Machine learning (ML), a subset of artificial intelligence, is showing promising results in cardiology, especially in cardiac imaging. ML algorithms are allowing cardiologists to explore new opportunities and make discoveries not seen with conventional approaches. This offers new opportunities to enhance patient care and open new gateways in medical decision-making. This review highlights the role of ML in cardiac imaging for precision phenotyping and prognostication of cardiac disorders. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1758-390X 1758-3896 |
| Relation: | https://www.uscjournal.com/articles/Artificial-Intelligence-in-Cardiac-Imaging; https://doaj.org/toc/1758-3896; https://doaj.org/toc/1758-390X |
| DOI: | 10.15420/usc.2019.19.2 |
| URL الوصول: | https://doaj.org/article/b003e0b8af6c4629909c2729364cd61a |
| رقم الانضمام: | edsdoj.b003e0b8af6c4629909c2729364cd61a |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1758390X 17583896 |
|---|---|
| DOI: | 10.15420/usc.2019.19.2 |