Severe aortic stenosis remains underrecognized and undertreated despite major advances in transcatheter aortic valve replacement (TAVR) and surgical valve replacement (SAVR).1 Increasing evidence suggests that delays in diagnosis and referral may contribute to adverse remodeling, progressive symptoms, and worse long-term outcomes. Recent clinical trials evaluating earlier intervention in asymptomatic severe aortic stenosis have intensified discussion surrounding optimal timing of treatment and patient selection.2,3
Current management strategies place greater emphasis on systematic echocardiographic evaluation and timely heart team referral.4 Emerging evidence supporting earlier intervention in selected asymptomatic patients has highlighted the importance of identifying progressive disease before advanced myocardial dysfunction develops.2,3 Although surveillance remains appropriate for many patients, evolving data suggest some individuals may benefit from intervention prior to the onset of classic symptoms.
Increasing recognition of sex-based differences in aortic stenosis has prompted further evaluation of diagnostic and referral patterns. Women may demonstrate different ventricular remodeling responses and lower valvular calcium burden despite severe disease, which can contribute to diagnostic complexity and potential delays in intervention.5
Artificial intelligence and machine learning technologies are also beginning to influence structural heart care. AI-assisted imaging platforms are being evaluated for automated valve assessment, calcium quantification, annular sizing, and procedural planning.6 Investigational predictive models may help estimate procedural risk, likelihood of pacemaker implantation, and long-term outcomes following TAVR or SAVR.6
Additionally, advances in CT-guided procedural planning and imaging integration continue to improve procedural precision and patient selection.6 These technologies may support more individualized treatment pathways while improving efficiency across structural heart programs.
As evidence continues to evolve, clinicians are increasingly focused on earlier recognition of severe aortic stenosis, optimization of referral pathways, and individualized lifetime valve management strategies. Continued collaboration among imaging specialists, general cardiologists, interventional cardiologists, and cardiac surgeons remains essential to delivering patient-centered care in an increasingly complex treatment landscape.4
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