Simulation In Acute Neurology
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Simulation in Acute Neurology
Author: Sara E. Hocker
language: en
Publisher: Elsevier Health Sciences
Release Date: 2018-11-13
Simulation in Acute Neurology is a reference on the execution of a simulation-based educational program in the management of acute neurologic emergencies. Simulation in Acute Neurology has practical value because it contains detailed descriptions of our simulation scenarios. The foundation of this book is our experience with neurosimulation―and it has been a very good one Part I provides an overview of the principles of simulation in medicine and examines the many unique opportunities simulation provides as an educational tool. Barriers to simulating neurologic emergencies are also discussed. Simulation allows a physician-in-training to be observed directly as he or she evaluates and manages acute neurologic disease. Part II is the core of the book. Fifteen acute neurologic emergencies, including complex neuroethical quandaries, are presented in detail, step by step, decision by decision, error after error. Each chapter in this section starts with an explanation of the essence of the discussed neuroemergency (THE PROBLEM BEFORE US), followed by a description of the scenario itself (THE PRESENTING CLINICAL PROBLEM), how scenarios can be adjusted to different types of learners (ADAPTING THE SCENARIO), and ends with a discussion of topics for feedback, which are generally focused around errors and pitfalls (DEBRIEFING). To show the flow of scenarios, we created two additional main headings: (THE IDEAL LEARNER) and (THE NOT-SO IDEAL LEARNER).
Artificial Intelligence in Acute Neurology
In recent years, the intersection of artificial intelligence (AI) and neurology has led to extraordinary advancements in the diagnosis, treatment, and management of acute neurological conditions. AI-driven technologies, such as machine learning algorithms and deep neural networks, have shown immense promise in transforming the landscape of acute care for patients facing neurological emergencies. This special issue aims to provide a comprehensive platform for researchers to showcase their cutting-edge work and explore the transformative potential of AI in acute neurology. The goal of this Research Topic is to shed light on the remarkable strides made in AI applications within acute neurology and emphasize their critical role in addressing existing gaps in patient care. As we move towards an era of personalized medicine, AI-based tools have the potential to revolutionize early detection, diagnosis, and treatment decision-making in acute neurological scenarios. By sharing your novel findings and perspectives, you will contribute to bridging the gap between AI research and clinical practice, fostering evidence-based approaches to improve patient outcomes.
The Practice of Emergency and Critical Care Neurology
Author: Eelco F. M. Wijdicks
language: en
Publisher: Oxford University Press
Release Date: 2024-08
The Practice of Emergency and Critical Care Neurology is the classic and comprehensive reference for physicians caring for patients with critical neurologic disorders, at risk of deterioation and in need of immediate attention. This third edition is richly illustrated and contains new chapters on the basics of neuroimaging, pharmacology issues in the intensive care setting, intoxications, critical care ultrasound, and more.