Artificial intelligence: The future for multimodality imaging of right ventricle.

The crucial pathophysiological and prognostic roles of the right ventricle in various diseases have been well-established. Nonetheless, conventional cardiovascular imaging modalities are frequently associated with intrinsic limitations when evaluating right ventricular (RV) morphology and function. The integration of artificial intelligence (AI) in multimodality imaging presents a promising avenue to circumvent these obstacles, paving the way for future fully automated imaging paradigms. This review aimed to address the current challenges faced by clinicians and researchers in integrating RV imaging and AI technology, to provide a comprehensive overview of the current applications of AI in RV imaging, and to offer insights into future directions, opportunities, and potential challenges in this rapidly advancing field. Overview of current difficulties and challenges in right ventricular imaging and the potential applications of artificial intelligence. For better understanding, we provide a three-dimensional heart model (image source: wikimedia commons, Patrick J. Lynch, license CC BY 2.5). RV, right atrium; RV, right ventricle; LA, left atrium; LV, left ventricle; CMR, cardiac magnetic resonance; CT, computed tomography. [Display omitted] • The first review focusing on the current implementations and challenges of AI in multimodality imaging of right ventricle. • Most common used imaging modalities and AI methods in this field of study are comprehensive surveyed. • The specific applications of AI in RV imaging, from image acquisition to the diagnosis and prognosis are well discussed in this review. [ABSTRACT FROM AUTHOR]