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Role of Artificial Intelligence and Machine Learning Approaches in Medical Diagnostics This book is intended for readers who seek to understand innovative approaches to diagnosing human diseases using artificial intelligence (AI) and machine learning (ML). It is particularly valuable for individuals involved in social, medical, and healthcare technology fields, as well as those contributing to commercial, scientific, and technological advancements aimed at overcoming challenges in disease diagnosis. The book highlights how AI-driven solutions can help address complex medical conditions by providing alternative and efficient diagnostic methods through scientific innovation. In the context of infectious diseases and global pandemics, this work also emphasizes the importance of developing innovative strategies that contribute to public health and societal well-being. It offers insights into how AI and ML can support timely and accurate diagnosis, ultimately benefiting communities at large. Through real-time case studies, the book provides a foundational understanding of key concepts and methodologies used to tackle critical challenges in disease diagnosis. It is particularly relevant for professionals and researchers in biomedical institutions, healthcare industries, and organizations seeking to integrate AI and ML technologies to enhance their diagnostic capabilities and overall service quality. The book demonstrates the significant impact of various AI and ML approaches, showcasing their applications in improving diagnostic accuracy and developing effective strategies for identifying and managing diseases