Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
ADVANCING CARDIOVASCULAR RADIOLOGY WITH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS
0
Zitationen
5
Autoren
2024
Jahr
Abstract
Artificial intelligence (AI) has emerged as a transformative force in cardiovascular radiology, revolutionizing the way imaging data is acquired, analyzed, and interpreted. This narrative review provides a comprehensive overview of the applications of AI in cardiovascular radiology, focusing on its impact on computed tomography (CT), magnetic resonance imaging (MRI), and echocardiography. The article discusses the methodology employed in the review, presents the results of the literature analysis, and offers insights into the challenges and future directions of AI in cardiovascular radiology. By harnessing the power of AI, cardiovascular radiology can achieve unprecedented levels of efficiency, accuracy, and personalized patient care, ultimately improving diagnostic outcomes and patient management.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.250 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.434 Zit.