Artificial intelligence: The future for multimodality imaging of right ventricle

Area of Science:

• Cardiology
• Medical Imaging
• Artificial Intelligence

Background:

• The right ventricle's (RV) role in disease is critical, but its assessment via conventional imaging is challenging.
• Existing cardiovascular imaging techniques have inherent limitations in accurately evaluating RV morphology and function.

Purpose of the Study:

• To review current challenges in integrating AI with RV imaging.
• To provide a comprehensive overview of AI applications in RV imaging.
• To discuss future directions and potential hurdles in this field.

Main Methods:

• Literature review of current research on AI in cardiovascular imaging.
• Analysis of AI algorithms applied to right ventricular analysis.
• Synthesis of findings regarding AI's impact on RV assessment.

Main Results:

• AI integration in multimodality imaging shows promise for overcoming RV assessment limitations.
• AI facilitates the development of automated imaging paradigms for the right ventricle.
• Current AI applications demonstrate potential for improved RV morphology and function evaluation.

Conclusions:

• AI represents a significant advancement for right ventricular imaging, enhancing diagnostic capabilities.
• Addressing integration challenges is key to realizing AI's full potential in RV diagnostics.
• Future research should focus on validating AI tools for robust clinical application in RV disease.