Algorithmic Approaches for the Diagnosis of Common Neurological Emergencies

Algorithmic Approaches for the Diagnosis of Common Neurological Emergencies is a practical resource aimed at clinicians working in the field of neurology. This volume serves as a valuable guide to help manage patients with neurological emergencies with limited resources. By providing an algorithmic approach to diagnosing patients, this volume will help the clinicians to quickly and systematically approach the patients, minimizing the risk of missing common neurological emergencies. Offering case studies and various common neurological scenarios, readers will be able to pick up on warning signs of serious neurological emergencies and treat patients effectively.

• Discusses how to systematically approach patients presenting with neurological emergencies
• Offers guidance on creating a differential diagnoses, while minimizing possibility of missing common neurological emergencies
• Offers several case studies throughout to help illustrate real world scenarios and applications
• Teaches readers how to facilitate diagnosis even in places with limited resources