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Journals / The Anatolian Journal of Cardiology / 2019 / Cilt: 22 - Sayı: 2

Role of Artificial Intelligence in Cardiovascular Imaging

Nurgül KESER
Pages
10–12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field.
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Key Findings & Data:Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field.
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Conclusion & Impact:The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Advances in cardiovascular imaging is seeking to parallel to radiology which has been leading this field. The importance of artificial intelligence (AI) and machine learning (ML) in cardiovascular imaging lies in interpreting images rapidly, enabelingimproved quality, preventing the interobserver and intraobserver interpretation variance, making quantification, reporting, diagnosis and risk prediction feasible (1).

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Cite This Article

KESER, N. (2019). Role of Artificial Intelligence in Cardiovascular Imaging. The Anatolian Journal of Cardiology, Cilt: 22 - Sayı: 2, 10–12. https://ajindex.com/articles/365719

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