Absolute Case Based Neurology Review
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Absolute Case-Based Neurology Review
This concise review book provides a set of evidence-based and up-to-date study questions that demonstrate knowledge of common neurological diseases. Presented in a case-based format, each chapter includes several questions that are intended for medical students, residents rotating through neurology, and neurologists looking for study sources. Filling a need for a supplemental resource to use when studying for board exams, particularly the NBME and RITE, Absolute Case-Based Neurology serves as an invaluable guide to neurology rotations, tests and daily practice.
Pediatric Neurology
Author: Tena Rosser
language: en
Publisher: Lippincott Williams & Wilkins
Release Date: 2007
Pediatric Neurology for the Oral Boards: A Case-Based Review is the first pediatric neurology review book written specifically for neurology residents preparing for the oral boards. The book presents sixty cases with discussions structured according to the neurology oral boards format: localization of neurologic findings; differential diagnosis and most likely diagnosis; diagnostic workup; and patient management. The cases will help readers lay a foundation of knowledge in pediatric neurology and develop an organized approach to clinical decision-making. An introduction explains in detail what to expect on the examination and gives helpful hints on preparing for and taking the exam.
The Digitalization of Neurology
Over the past 20 years Medicine in general, and Neurology in specific, has become increasingly digitized. Increasingly, Neurology has made a transition from qualitative to quantitative methods. The conversion of neurological data from free text to a computable format has made the application of digital tools to neurological diagnosis and prognosis a reality. This Research Topic in Frontiers in Digital Health will highlight how the digitization of data has revolutionized Neurology. Themes covered will include natural language processing, ontologies, phenotyping, big data, bio-banks, machine learning, graph theory, network analysis, computational models, electronic health records, telemetry, and teleneurology.