Chapters Chapter 1: Unleashing the Potential of 3D Printing in Medicine Chapter 2: Pioneering Regenerative Engineering and Biomaterials for Healthcare Chapter 3: Current Innovations in Dental Implant Technology: Redefining Dental Restorations Chapter 4: Fueling Performance and Recovery through Sports Nutrition Chapter 5: Augmented Reality in Healthcare: Transforming Patient Care and Training Chapter 6: Revolutionizing in pharmacotherapy of Neuropsychiatric Chapter 7: Disease: Nexus of Brain Imaging in Routine Psychiatric Practice, Mental Disorder Pharmacotherapy and new Psychological theories Chapter 8: Advancements in Orthodontics: Innovations for Perfecting Teeth Alignment Chapter 9: Transforming Surgical Precision with Medical Robotics and Computer Assisted Surgery Chapter 10: Precision Diagnostics: Advancing Accuracy in Medical Testing Chapter 11: Metabolic and Bariatric Technologies: Innovations in Weight Management Chapter 12: Critical Interventions: Advancements and Innovations in Emergency Medicine Chapter 13: Bio-Nanomedicine and Nanotheranostics: Redefining Drug Delivery and Diagnostics Chapter 14: Visionary Advances: Transforming Ophthalmology for the Future Chapter 15: Advanced Periodontal Surgical Techniques

Chapter 1: Current Advances in Dental Implant Technology Chapter 2: Medical Imaging Innovations

Chapters Chapter 1: Innovations in Diagnosis and treatment of psychological disorders: Immersive Experiences in artificial intelligence and unraveling the new Potentials in mental disorder treatment Chapter 2: Nano-medicine in Cancer Therapy: Targeted Drug Delivery and Theranostic Approaches Chapter 3: Antibody-Drug Conjugates: Innovations in Targeted Cancer Therapy Chapter 4: Innovative Imaging Techniques in Dentistry: AI, 3D Imaging, Diagnostics, Treatment, Technology Chapter 5: Advancements in Minimally Invasive Dental Procedures: Laser Treatment, Patient Safety, Efficacy, Recovery, Techniques Chapter 6: Investigating the Impact of Modern Construction Technologies on Stability and Weight Reduction in High-Rise Buildings Chapter 7: Unleashing the Power of Connectivity: The Evolution of WiFi Technology Chapter 8: Innovative Orthodontic Appliances and Technologies Chapter 9: Brain-Machine Interfaces: Bridging the Gap Between Mind and Machine

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Gain insights into the latest trends and techniques in orthodontics with this detailed exploration of dental alignment advancements. Ideal for dental professionals and students, this book covers cutting-edge practices and technologies transforming orthodontic care.

Stay updated on the latest advancements in periodontal care with this comprehensive guide. Covering new treatments, technologies, and research in gum health, this book is an invaluable resource for dental practitioners and researchers.

Integrating intelligent systems and internet of things (IoT) into clinical health is crucial for enhancing patient care and operational efficiency. These technologies enable real-time data collection and analysis, facilitating personalized treatment plans and improving diagnostic accuracy. Together innovations can streamline workflows, reduce costs, and ultimately lead to better health outcomes for patients. It is essential to explore how these technologies can be implemented into healthcare. Intelligent Systems and IoT Applications in Clinical Health explores and elucidates the integration of AI, IoT, and blockchain technologies in healthcare. It advances current research by providing comprehensive insights into how these technologies can be leveraged to enhance patient care, improve operational efficiency, and ensure data security. Covering topics such as clinical healthcare, digital health experience, and monitoring systems, this book is an excellent resource for researchers, academicians, medical professionals, medical administrators, educators, graduate and postgraduate students, and more.

Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.