Richard B. Berry – författare

Following in the steps of the bestselling Sleep Medicine Pearls, this practical resource provides authoritative guidance on the evaluation and management of common pediatric sleep medicine problems using concise clinical vignettes. Experts in this rapidly growing field, led by Drs. Lourdes M. DelRosso, Richard B. Berry, Suzanne E. Beck, Mary H. Wagner, and Carole L. Marcus, provide a hands-on, case-based approach, perfect for physicians studying for the sleep boards, fellows learning sleep medicine, and physicians who see children in their practice.

Sleep Medicine is a rapidly growing and changing field. Experienced sleep medicine clinicians and educators Richard B. Berry, MD and Mary H. Wagner, MD present the completely revised, third edition of Sleep Medicine Pearls featuring 150 cases that review key elements in the evaluation and management of a wide variety of sleep disorders. The cases are preceded by short fundamentals chapters that present enough basic information so that a physician new to sleep medicine can start reading page 1 and quickly learn the essential information needed to care for patients with sleep disorders. A concise, practical format makes this an ideal resource for sleep medicine physicians in active practice, sleep fellows learning sleep medicine, and physicians studying for the sleep boards.

The rise of lifestyle changes resulting from constant connectivity, irregular work schedules, heightened stress, and disruptive sleep patterns, have contributed to increasing insomnia rates.  Exacerbated by the COVID-19 pandemic, sleep disorders are more prevalent than ever. This handbook offers a comprehensive exploration of the fusion of Artificial Intelligence (AI) and data science within the realm of sleep disorders, presenting innovative approaches to diagnosis, treatment, and personalized care.

The interdisciplinary nature of this handbook fosters collaboration between experts from diverse fields, including computer science, engineering, neuroscience, medicine, public health, AI, data science, and sleep medicine. Each chapter delves into specific aspects of sleep disorder analysis, innovative methodologies, novel insights, and real-world applications that showcase the transformative potential of AI and data science in sleep medicine, from analyzing sleep patterns and predicting disorder risk factors to utilizing big data analytics for large-scale epidemiological studies. This handbook hopes to offer a comprehensive resource for researchers, clinicians, and policymakers striving to address the challenges in sleep medicine.