The field of pediatrics is vast, with a unique set of challenges and intricacies that demand a precise, nuanced approach to diagnosis. Children are not simply small adults; their developmental stages, physiological differences, and the ways they manifest symptoms require specialized attention. Accurate diagnosis in pediatric medicine is crucial, as early detection and appropriate intervention can significantly alter the trajectory of a child’s health and development. An Algorithm Approach to Pediatric Diagnosis was conceived out of a desire to streamline the diagnostic process for pediatric healthcare professionals. The book serves as a practical guide, offering clear, step-by-step algorithms that can be applied in clinical settings. These algorithms are based on the latest evidence and best practices, ensuring that clinicians have a reliable resource at their fingertips when faced with the complex task of diagnosing pediatric conditions. The book is organized by symptomatology, covering 140 common symptoms in childhood. Each chapter is structured to guide the readers through a logical sequence including differential diagnosis, relevant investigations and red flag signs. The readers are kept aware of what are danger signals that require immediate and urgent attention and care. Authors have taken great care to ensure that this book is both accessible and authoritative. The algorithms are designed to be user-friendly, allowing for quick reference during patient encounters in a busy outpatient setting. In addition to its utility as a clinical tool, we hope this book will also serve as a valuable educational resource. Medical students, residents, and fellows will find the structured approach helpful in mastering the complexities of pediatric diagnosis, while experienced clinicians may discover new insights and strategies to enhance their practice.