Key result
Multimodal imaging and AI improve early detection and risk stratification of fibrosis in HCM.
Why the study?
Myocardial fibrosis in HCM is an independent risk factor for adverse outcomes, warranting a review of how advances in multimodal imaging and AI can optimize clinical decision-making and precision management.
The integration of multimodal imaging and artificial intelligence transforms hypertrophic cardiomyopathy management by enabling early detection and precision-guided risk stratification based on myocardial fibrosis.
Fibrosis severity refines HCM prognosis; extends morphological assessment but leaves open prospective imaging-guided trials.
Hypertrophic cardiomyopathy (HCM) is a genetic cardiac disorder characterized by asymmetric myocardial hypertrophy and is closely linked with myocardial fibrosis. The level and severity of myocardial fibrosis are independent risk factors for adverse clinical outcomes, including being closely related to sudden cardiac death, heart failure progression, and all-cause mortality. Advances in imaging technology have expanded HCM management beyond standard morphological assessment into a multidimensional paradigm that integrates molecular characterization, functional evaluation, and prognostic stratification. This paradigm shift supports an integrated clinical approach that enables early detection, targeted therapeutic intervention, and risk-adapted prevention strategies. Innovations in artificial intelligence (AI) are further transforming HCM management into an intelligent framework driven by data analytics, predictive modeling, and precision-guided interventions. Building on the pathophysiological basis of myocardial fibrosis, this review presents a comprehensive discussion of transformative developments in multimodal imaging technologies and the associated clinical applications, supported by an in-depth analysis of the recent AI-based advances in intelligent diagnostics, risk stratification, and therapies. Collectively, these concepts aim to optimize clinical decision-making and improve patient care practices.
No takes yet. Share an insight, caveat, or question.
Yang et al. (2026) conducted a review in Hypertrophic cardiomyopathy. Quantitative imaging and artificial intelligence was evaluated. Multimodal imaging technologies and artificial intelligence algorithms enable early detection, automated quantification, and risk stratification of myocardial fibrosis in patients with hypertrophic cardiomyopathy.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: