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Akash Fichadiya1, Bethlehem Mengesha2, D Ian Paterson2

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Artificial intelligence (AI) is advancing medical applications, particularly in cardiac imaging. AI offers potential improvements in image quality, automated segmentation, and reporting for better disease diagnosis and risk assessment.

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) shows significant advancements across medicine.
  • Cardiac imaging presents a well-defined workflow suitable for AI integration.
  • AI can address technical challenges in cardiac image acquisition and reconstruction.

Purpose of the Study:

  • To describe specific applications of AI in multimodality cardiac imaging.
  • To explore how AI may transform the roles of imaging specialists.
  • To highlight AI's potential in optimizing diagnostic quality and disease risk stratification.

Main Methods:

  • Review of current AI applications in cardiac imaging.
  • Analysis of AI's impact on image acquisition, reconstruction, and segmentation.
  • Discussion of AI's role in reporting and risk stratification.

Main Results:

  • AI can optimize diagnostic quality in cardiac imaging.
  • Automated segmentation and enhanced reporting are key AI benefits.
  • AI is poised to transform, and in some cases replace, traditional roles in cardiac imaging.

Conclusions:

  • AI integration in cardiac imaging promises enhanced diagnostic accuracy and efficiency.
  • The practice of cardiac imaging specialists will be significantly transformed by AI.
  • AI tools will play a crucial role in future disease diagnosis and patient risk stratification.