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Recent Advances in Medicine and Health Sciences: Concepts, Researches and Practice
This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical informati...
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This book offers up-to-date information on all aspects of the use of lasers in endodontics, focusing especially on the various laser applications, including primary and permanent root canal therapies, retreatments, apical surgery and pulp therapy. Every laser technique used in endodontics is carefully described and illustrated, with detailed coverage of both conventional methods and more recent developments such as laser-activated irrigation and photon-induced photoacoustic streaming. In addition, a separate section addresses the basic science of laser dentistry, explaining the physics, describing laser–tissue interactions, and discussing different types of laser. Extensive reference is made to the international literature in order to provide the reader with a clear, evidence-based understanding of the merits of various approaches. In offering a balanced mix of descriptions of clinical applications, clinical data, scientific research and logical criticism, the book will serve as an excellent reference for a wide audience comprising general dentists as well as specialists.
The Yezidis are a Kurdish-speaking religious minority, neither Muslim, Christian nor Jewish. At a time when studies of Kurdish nation-building are developing, this book is the first to consider Kurdish oral traditions within their social context and explain their relevance for a large Kurdish community.
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.