ADVANCING CARDIOVASCULAR RADIOLOGY WITH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS

Autores

  • Victor Balceiro Legname Martins Faculdade Santa Marcelina
  • Pedro Henrique Zeraik Viduedo Unifoa
  • Thalyta Alves Teixeira UNIFEV
  • Afrânio Côgo Destefani EMESCAM
  • Vinícius Côgo Destefani DynMolLab

DOI:

https://doi.org/10.51891/rease.v10i8.15342

Palavras-chave:

Artificial Intelligence. Cardiovascular Radiology. Imaging Data. Diagnostic Outcomes. Personalized Patient Care.

Resumo

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.

Biografia do Autor

Victor Balceiro Legname Martins, Faculdade Santa Marcelina

Faculdade Santa Marcelina. 

Pedro Henrique Zeraik Viduedo, Unifoa

Unifoa. 

Thalyta Alves Teixeira, UNIFEV

UNIFEV. 

Afrânio Côgo Destefani, EMESCAM

Santa Casa de Misericórdia de Vitoria Higher School of Sciences - EMESCAM. Santa Luíza – Vitória – ES – Brazil. Molecular Dynamics and Modeling Laboratory (DynMolLab).

Vinícius Côgo Destefani, DynMolLab

Molecular Dynamics and Modeling Laboratory (DynMolLab), Santa Luíza – Vitória – ES – Brazil.

 

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Publicado

2024-08-23

Como Citar

Martins, V. B. L., Viduedo, P. H. Z., Teixeira, T. A., Destefani, A. C., & Destefani, V. C. (2024). ADVANCING CARDIOVASCULAR RADIOLOGY WITH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(8), 3063–3073. https://doi.org/10.51891/rease.v10i8.15342