Overview

A patient arrives in the ER at 2 AM. Before the radiologist finishes reading the CT, an AI algorithm has already flagged a large vessel occlusion and alerted the stroke team. This is not the future. This is neurology right now. The question is whether your training has kept up. Most neurology textbooks still teach as if AI does not exist. They treat it as an afterthought, a final chapter, a footnote. But in real clinical practice, AI-powered perfusion imaging, algorithmic seizure detection, digital speech analysis, and wearable neuromonitoring are already changing how neurological disease is detected, diagnosed, and managed. This textbook bridges the gap between classical clinical neurology and the technology-augmented practice you will actually encounter on the wards, in the ICU, and in the clinic. Inside this book, you will find: A complete neurological examination framework with localization-first reasoning 14 presentation-based clinical chapters organized how patients actually present: headache, weakness, dizziness, seizures, memory loss, tremor, stroke, and more AI Clinical Decision Points woven into every chapter showing where algorithms fit in your workflow and where they fall short Board Review Spotlights aligned with USMLE Step 2 CK and ABPN exam formats Precision neurology coverage, including biomarkers, genomics, and machine learning diagnostics Neurological emergencies, neuro-ICU, pediatric neurology, neuro-oncology, and neuroinfectious disease Clinical decision algorithms, drug dosing tables, and a neuroanatomy quick reference Board-style MCQs and clinical cases with detailed explanations after every chapter Written for medical students on clerkship, neurology residents preparing for boards, and practicing neurologists integrating new tools into their workflow. The clinicians who understand both the neurology and the technology will deliver the best patient care in the decades ahead. Start here. Get your copy now.

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