A new smart finger cuff algorithm for detecting aortic stenosis demonstrated high accuracy for identifying moderate-to-severe disease in African American patients, according to results presented at SCAI 2026 Scientific Sessions and the CAIC-ACCI Summit in Montreal. The REACH trial data focused on performance in a group often underrepresented in device validation. The report positions the algorithm as a noninvasive triage tool that could support earlier detection and referral patterns for patients with clinically significant aortic stenosis. Precision in identification is particularly relevant because downstream treatment pathways depend on accurate risk stratification. For device developers and clinical groups, the key near-term task is confirming generalizability across clinical settings and integrating the tool into existing diagnostic workflows.