INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Cardiovascular disease (CVD) remains a global public health crisis, claiming millions of lives annually. Early and accurate diagnosis plays a pivotal role in effective management and improved patient outcomes. Non-invasive imaging techniques have revolutionized CVD diagnosis, providing clinicians with detailed insights into cardiac structure, function, and pathology without the need for invasive procedures. This review comprehensively explores the current landscape and emerging trends in non-invasive imaging for CVD diagnosis, covering established modalities like echocardiography, cardiac magnetic resonance imaging (CMR), and computed tomography (CT) alongside novel approaches like radiofrequency (RF) imaging and artificial intelligence (AI)-powered methods. We delve into the strengths, limitations, and evolving applications of these techniques in diagnosing various CVDs, highlighting their potential to enhance diagnostic accuracy, refine risk stratification, and guide personalized therapy for CVD patients.
"Emerging Trends in Non-Invasive Imaging Techniques for Cardiovascular Disease Diagnosis: A Comprehensive Review", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e906-e910, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404493.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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