1: Using Artificial Intelligence to Rethink Seizure Management in the Neuro ICU

Welcome to the Frontlines with Frontera podcast. A clinician-focused podcast blending education, curiosity, and real-world insights across the spectrum of neurologic practice. In this initial episode, host Jennifer Frontera, MD, is joined by Sahar Zafar, MD, associate professor of neurology at Mass General Brigham and vice chair of quality, to discuss the expanding role of artificial intelligence (AI) in neurocritical care. The conversation explores how large-scale EEG data, electronic health records, and advanced causal modeling can be leveraged to address longstanding gaps in seizure management, prognostication, and trial design. In addition, Zafar outlines how AI-driven approaches are being used to annotate neurophysiologic data at scale, quantify seizure burden, and extract clinically meaningful outcomes from unstructured records. Together, they examine the challenges of model validation, generalizability across health systems, and how these tools may ultimately inform more precise, data-driven treatment strategies in the neuro ICU.Episode Breakdown:  1:30 – Why evidence gaps and practice variation persist in neurocritical seizure management 4:50 – How AI and real-world data can address limitations of traditional clinical trials 8:10 – Using EEG-based AI models to quantify seizure burden and predict outcomes  10:40 – Applying NLP and large language models to extract meaningful data from EHRs 21:20 – Challenges of model validation, portability, and multicenter collaboration 26:20 – Future applications of AI for seizure prophylaxis, multimodal monitoring, and trial design Thanks for listening to the NeurologyLive® Frontlines with Frontera podcast. To support the show, be sure to rate, review, and subscribe wherever you listen to podcasts. For more neurology news and expert-driven content, visit neurologylive.com.