ACC 2026 at a Glance
Get ready for ACC 2026. LucidQuest’s preview highlights the most important clinical and AI-powered developments in cardiovascular research, helping you identify priority sessions and shape a focused, insight-led agenda.
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Key Topics from ACC 2026 Scientific Presentations
Arrhythmias, AF, and Electrophysiology
PFA, earlier rhythm control, wearables, inhaled flecainide, and tailored DOAC versus LAAO strategies will shape more selective AF care.
Coronary Artery Disease, ACS, and Interventional Cardiology
Plaque phenotyping, CCTA tools, IVUS or OCT-guided PCI, CKD-sensitive physiology, and early zalunfiban may refine ACS outcomes.
Heart Failure, Cardiomyopathy, and Amyloidosis
Mavacamten, broader SGLT2 use, finerenone, AI-enabled ATTR-CM screening, and wearable monitoring will support earlier, phenotype-specific intervention.
Prevention, Lipids, Hypertension, and Cardiometabolic Risk:
RNAi, APOC3, CETP, PCSK9, oral semaglutide, renal denervation, aldosterone synthase inhibition, and AGT silencing will extend prevention beyond surrogate control.
Structural Heart, Valvular, Pulmonary Vascular, and Congenital Disease:
TAVI cognition, cerebral protection limits, biodegradable occluders, PAH positioning, and long-term PFO or congenital follow-up will guide selective care.
Artificial Intelligence and Machine Learning at ACC 2026
AI-Echocardiography Screening Expansion
EchoFocus-CHD will detect critical CHD with AUROC 0.93, HLHS 0.99, from over 2 million videos across 27,603 echos.
Valve Disease Detection at Scale
AI-enabled 2D echo will detect aortic stenosis with AUROC 0.99 internally and 0.98 in handheld, novice-acquired cohorts.
ATTR-CM Identification and Triage
AgentAttr will screen 1,828 HF patients at 80.9% sensitivity, while AI-Echo triage will deliver PPV 79% versus AI-ECG 49%.
AI-ECG as a Risk Platform
AI-ECG will map elevated LV filling pressure with AUC 0.868 internal, 0.850 external, from 225,737 ECGs.
Wearables and Image-Based ECG Democratization
Wearable PPG screening across over 1.06 million participants will show PPV 0.92, while photo-based pediatric AI-ECG reaches AUROC 0.95.
Real-Time Cath Lab Automation
Lightweight OCT segmentation will cut processing from 0.22 to 0.002 seconds per frame while preserving calcium and lipid performance.
Multimodal Prognostic Modeling
HF models integrating imaging, EHR, and metadata in 135,372 adults will achieve c-index 0.86 and mean time-dependent AUC 0.90.
📅 Build your schedule around the sessions that matter most.
📥 Download the ACC 2026_Preview_by_LucidQuest
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