ISC 2026 at a Glance
Get ready for ISC 2026. LucidQuest’s preview brings together the most relevant scientific and AI-driven advances in stroke research, helping you focus on high-impact sessions and plan a clear, insight-driven agenda.
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Key Topics from ISC 2026 Scientific Presentations
Intracerebral Hemorrhage, Vascular Malformations, and Aneurysms
- Research at ISC 2026 continues to refine safer care pathways for intracerebral hemorrhage, with a strong focus on biomarkers and risk stratification. The CASH EPOC study examines potential rebound effects after atorvastatin discontinuation in cerebral cavernous malformations, while TriNetX analyses link antithrombotic use to increased hemorrhage risk, informing real-world decision-making.
Acute Ischemic Stroke: Reperfusion, Thrombolysis, and Thrombectomy
- Sessions on acute ischemic stroke explore endovascular treatment strategies by occlusion type and timing, including anterior versus posterior circulation and direct-to-angiosuite pathways. Blood pressure control remains central, while hyperglycemia and persistent hypoperfusion emerge as key predictors of poorer recovery.
Cerebrovascular Disease, Imaging, Small Vessel Disease, and Genetics
- Advanced imaging and genetic insights highlight mechanisms driving small vessel pathology. PCSK9 inhibitors show potential to reduce recurrence in severe intracranial atherosclerosis, alongside ongoing discussions around cost-effectiveness. Data on carotid web suggest long-term stability, reshaping risk assumptions.
Epidemiology, Health Disparities, and Systems of Care
- New epidemiological data link negative wealth shocks to increased stroke risk, particularly in individuals with limited assets. Social and structural constraints on information sharing are associated with reduced support networks and worse outcomes for stroke survivors, reinforcing the role of health systems beyond acute care.
Secondary Prevention, Antithrombotic Therapy, and Atrial Fibrillation
- In secondary prevention for atrial fibrillation, evidence shows that adding antiplatelet therapy to oral anticoagulation provides no ischemic benefit and increases bleeding risk. Left atrial appendage occlusion continues to gain traction as an effective alternative without compromising ischemic protection.
Stroke Recovery, Rehabilitation, and Neuromodulation
- Rehabilitation research highlights digital tools, transcranial magnetic stimulation, and mindfulness-based approaches. Neuromodulation techniques such as transcutaneous vagus nerve stimulation and transcutaneous spinal cord stimulation demonstrate improvements in cognition and motor function, with sustained upper-limb gains reported for vagus nerve stimulation.
Artificial Intelligence and Machine Learning at ISC 2026
AI for Mortality Prediction
Natural language processing models, including Longformer and BioBERT, achieve strong performance in predicting stroke mortality, with AUC values ranging from 0.81 to 0.85, enabling near real-time and explainable risk stratification.
Automated Pediatric Stroke Lesion Segmentation
Using nnU-Netv2, AI models accurately segment pediatric arterial ischemic stroke lesions, supporting faster and more consistent imaging-based decisions.
Real-Time Social Monitoring With AI
Wearable-based AI tools such as the SocialBit smartwatch use ambient audio to detect social isolation, strongly correlating engagement metrics with cognitive recovery outcomes.
Automated Deidentification of CT Imaging
New tools enable automated deidentification of head CT scans across large datasets, reducing file size by over one-third and facilitating secure multi-site collaboration.
AI-Supported EVT in Large-Core Stroke
Registry data from Florida suggest that AI-supported clinical pathways are associated with lower mortality and improved ambulation in patients undergoing endovascular treatment for large-core stroke.
AI in Clinical Decision-Making
Open Evidence AI demonstrates high accuracy in synthesizing guidelines and literature, supporting rapid, evidence-based bedside decisions with minimal response time.
AI for Hyperperfusion Risk in Carotid Stenting
Models combining CT perfusion and time-domain near-infrared spectroscopy accurately predict post-stenting hyperperfusion risk, supporting safer carotid artery procedures.
📅 Build your schedule around the sessions that matter most.
📥 Download the ISC_2026_Preview_by_LucidQuest
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