Artificial Intelligence For Health 4 0 Challenges And Applications
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Artificial Intelligence of Health-Enabled Spaces
Artificial Intelligence of Health-Enabled Spaces (AIoH) has made a number of revolutionary advances in clinical studies that we are aware of. Among these advances, intelligent and medical services are gaining a great deal of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. These AI-powered solutions are expected to communicate with cellular networks smoothly in the next-generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for other interesting research areas. This book focuses on the development and analysis of artificial intelligence (AI) model applications across multiple disciplines. AI-based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable models are also presented in this book. Some of the fields considered in this smart health-oriented book include AI applications in electrical engineering, biomedical engineering, environmental engineering, computer engineering, education, cyber security, chemistry, pharmacy, molecular biology, and tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. These challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of AI-based approaches in the proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies.
Artificial Intelligence in Medicine
In the ever-evolving realm of healthcare, Artificial Intelligence in Medicine emerges as a trailblazing guide, offering an extensive exploration of the transformative power of Artificial Intelligence (AI). Crafted by leading experts in the field, this book sets out to bridge the gap between theoretical understanding and practical application, presenting a comprehensive journey through the foundational principles, cutting-edge applications, and the potential impact of AI in the medical landscape. This book embarks on a journey from foundational principles to advanced applications, presenting a holistic perspective on the integration of AI into diverse aspects of medicine. With a clear aim to cater to both researchers and practitioners, the scope extends from fundamental AI techniques to their innovative applications in disease detection, prediction, and patient care. Distinguished by its practical orientation, each chapter presents actionable workflows, making theoretical concepts directly applicable to real-world medical scenarios. This unique approach sets the book apart, making it an invaluable resource for learners and practitioners alike. Key Features: • Comprehensive Exploration: From deep learning approaches for cardiac arrhythmia to advanced algorithms for ocular disease detection, the book provides an in-depth exploration of critical topics, ensuring a thorough understanding of AI in medicine. • Cutting-Edge Applications: The book delves into cutting-edge applications, including a vision transformer-based approach for brain tumor detection, early diagnosis of skin cancer, and a deep learning-based model for early detection of COVID-19 using chest X-ray images. • Practical Insights: Practical workflows and demonstrations guide readers through the application of AI techniques in real-world medical scenarios, offering insights that transcend theoretical boundaries. This book caters to researchers, practitioners, and students in medicine, computer science, and healthcare technology. With a focus on practical applications, this book is an essential guide for navigating the dynamic intersection of AI and medicine. Whether you are an expert or a newcomer to the field, this comprehensive volume provides a roadmap to the revolutionary impact of AI on the future of healthcare.
HEALTH & SCIENCE 2024-III
CONTENTS/CHAPTERS AI IN MEDICINE: ADVANCEMENTS, APPLICATIONS, AND FUTURE PROSPECTS Ozan Alper ALKOÇ, Faruk ALTINBAŞAK DEVELOPMENT OF DIGITALIZATION AND ARTIFICIAL INTELLIGENCE HABITS IN HEALTH SCIENCES DURING THE COVID-19 PANDEMIC Mustafa Fatih ERKOÇ ARTIFICIAL INTELLIGENCE APPLICATIONS IN MICROBIOLOGY Emine YEŞİLYURT IMPORTANCE OF UGT AND CYP2C19 ENZYME POLYMORPHISMS ASSOCIATED WITH MYCOPHENOLIC ACID USED IN KIDNEY TRANSPLANT PATIENTS Hayriye ŞENTÜRK ÇİFTÇİ HPV FACTS ADOLESCENTS NEED TO KNOW Irmak Ceylin SÜRÜCÜ, Tuğba AKÇAOĞLU PSEUDOTUMOR CEREBRI Hasan IDIZ PHOTODYNAMIC THERAPY AND ITS APPLICATIONS Irmak KARADUMAN ER, Sezen TEKİN A COMPREHENSIVE REVIEW OF PET/CT IN ESOPHAGEAL CANCER Gözde MUTEVELIZADE ADVANCED IMAGING TECHNIQUES FOR THE DETECTION AND DIAGNOSIS OF ALZHEIMER'S DISEASE Esra AYAN CURRENT RADIOLOGICAL APPROACHES TO BRAIN INFARCTION Mustafa Fatih ERKOÇ BIOLOGICAL APPLICATIONS OF EDGE ILLUMINATION X-RAY PHASE CONTRAST IMAGING Didem GÖKBEL KEKLİKOĞLU, Ziya MERDAN RADIAL HEAD AND NECK FRACTURES IN CHILDREN Musa ERGİN NURSING CARE FOR CHILDREN AND ADULTS WITH HEMATOLOGIC AND ALLERGIC PROBLEMS Çiğdem Müge HAYLI, Döndü TUNA ŞANLITÜRK, Dilek DEMİR KÖSEM, Mehmet Zeki AVCI BEHAVIOR GUIDANCE IN PEDIATRIC DENTISTRY Yıldız KONYA, Asu ÇAKIR, Tuğçe Nur ŞAHİN THE RELATIONSHIP BETWEEN ATTITUDES TOWARDS NUTRITION AND SLEEP QUALITY AND PSYCHOLOGICAL WELLBEING: A REVIEW STUDY Gurbet BOZKURT AN ASSESMENT OF THE APPROACHES OF HOSPITAL PHARMACISTS ON RATIONAL DRUG USE IN ISTANBUL Fırat KARA, Emel MATARACI KARA ECO-FRIENDLY PHARMACEUTICAL ANALYSIS AND CURRENT ANALYTICAL APPLICATIONS Zehra ÜSTÜN