Ghaffari Jolfayi Navigating Cardiology's Future

AI in MRI Imaging and Outcome Projections
Erscheinungsjahr 2025
ISBN: 978-981-950313-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 142 Seiten

Reihe: Medicine

This book will discuss about the transformative potential of artificial intelligence (AI) within the realm of cardiac magnetic resonance imaging (MRI). This summary encapsulates the evolving landscape where AI algorithms intersect with advanced imaging techniques to revolutionize how cardiovascular health is assessed and managed. By harnessing the power of AI, healthcare professionals gain access to unprecedented levels of precision and predictive capability in analyzing MRI data. This convergence of technology and medicine holds promise for improving patient outcomes by enabling earlier detection of cardiac abnormalities, personalized treatment strategies, and more accurate prognostic assessments. As cardiology continues to embrace AI-driven innovations, this summary underscores the pivotal role of technology in shaping the future of cardiovascular care.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ghaffari Jolfayi, Amir

Inhaltsverzeichnis

1. Introduction.- 2. Fundamentals of MRI Imaging.- 3. Role of AI in MRI Image Acquisition Automated Image Acquisition and Reconstruction.- 4. AI Applications in MRI Diagnosis.- 5. Enhancing Clinical Decision Making with AI.- 6. Advancements in AI-Based Imaging Biomarkers.- 7. AI-Driven Outcome Projections in MRI.- 8. Ethical and Regulatory Considerations.- 9. Future Perspectives and Challenges.- 10. Case Studies and Practical Applications.

Über Autor(innen)

Dr Amir Ghaffari Jolfayi is a physician-scientist who graduated from Shahid Beheshti University of Medical Sciences, Tehran, Iran. He holds a Doctor of Medicine (MD), a Master of Public Health (MPH), and a Master of Health Professions Education (MHPE), and he has won five medals in  National Medical Olympiads. By combining clinical expertise with advanced data-science training, Dr Ghaffari Jolfayi has quickly become a researcher in applied artificial intelligence for healthcare.

To date, he has authored numerous articles indexed in PubMed, Web of Science and Scopus, focusing on cardiovascular disease, machine learning, deep learning, and medical image processing. His work spans automated diagnosis, Theranostic modelling, radiomics, and workflow optimization, translating novel algorithms into practical clinical tools.

As an editor, Dr Ghaffari Jolfayi champions rigorous methodology, transparent reporting, and interdisciplinary collaboration. He regularly writes and review articles which integrate cardiology and other clinical sciences with biomedical engineering, computer vision, and outcomes research.