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AAN 2026 Preview: Emerging Neurology Trends and AI

AAN 2026_Preview_by_LucidQuest

AAN 2026 at a glance

The AAN Annual Meeting 2026 (AANAM 2026) will highlight developments across Alzheimer’s disease, epilepsy, migraine, Parkinson’s disease, multiple sclerosis and stroke, alongside AI applications that could influence clinical decision-making, patient management and treatment differentiation.

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AAN 2026: Key Developments in Neurology

Alzheimer’s Disease, Dementia and Cognitive Disorders

Alzheimer’s disease and dementia management is expected to broaden beyond amyloid, using biomarker-guided, stage-specific and symptom-targeted strategies.

Anti-Amyloid Therapy and ARIA Management

Lecanemab showed modest benefit, ALZ-NET reported ARIA-E of 5% and ARIA-H of 7%, and continued treatment may preserve slowing.

These findings highlight the importance of clinical benefit, safety monitoring and treatment management.

Epilepsy, Seizures and Sleep Disorders

Care is expected to expand beyond symptom control, prioritizing function, behavior, caregiver burden and high-need populations.

Headache and Migraine Treatment

Migraine care is projected to become more individualized, guided by cognition, comorbidities and real-world response variability.

Parkinson’s Disease and Neuromodulation

Parkinson’s care is expected to shift toward continuous delivery, earlier optimization and next-generation neuromodulation platforms.

Multiple Sclerosis and Neuroimmunology

Neuroimmunology is set to advance through novel immune targets, earlier intervention and function-focused long-term monitoring.

Stroke and Cerebrovascular Disorders

Stroke management is expected to depend on faster treatment, sharper etiologic classification, stronger prevention and better post-event care.

Artificial Intelligence and Machine Learning at AAN 2026

AI in Neurology: Clinical Triage and Diagnostic Support

Clarityv8 reached 96.0% sensitivity and 99.9% negative predictive value (NPV), while stroke virtual-assistant triage achieved 93.6% referral accuracy.

AI for Stroke Prognostication

ROS-ESUS reached AUROC 0.854/0.835, posterior-circulation acute ischemic stroke models achieved 89% accuracy, and rural triage achieved AUC 0.88.

Alzheimer’s Disease Digital Biomarkers

MyCog reached AUC 0.890, gait ensembles achieved AUC 0.93/0.89, and EEG denoising improved classification to AUROC 0.86.

Parkinson’s Disease Predictive Modeling

LSTM atrophy forecasting delivered five regional AUROCs above 0.9, with gait wearables reaching AUC 0.88.

AI in Epilepsy: Genetic Triage and EEG Analysis

Adult genetic epilepsy triage reached AUC 0.79, hybrid EEG exceeded 99% accuracy, but prospective-like validation remained limited.

Explainable AI and Clinical Trust

SHAP, feature reduction, omission-rate auditing and fairness-aware frameworks are expected to become core for adoption and clinician trust.

Operational AI in Neurology Practice

Practice-network data suggest 50–70% time savings, while AI scribes and translation tools raise safety and oversight questions.

Download the LucidQuest’s AANAM 2026 Preview Report

Download LucidQuest’s AANAM 2026 preview report and planner for insights into emerging neurology developments, AI applications and their competitive implications.

📅 Build your schedule around the sessions that matter most.

📥 Download the AAN 2026_Preview_by_LucidQuest

Contact us for end-to-end conference coverage.

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