{"product_id":"artificial-intelligence-in-medicine-paperback","title":"Artificial Intelligence in Medicine - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eThompson Stephan\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn the ever-evolving realm of healthcare, \u003ci\u003eArtificial Intelligence in Medicine\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eDistinguished 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.\u003c\/p\u003e\u003cp\u003eKey Features: \u003c\/p\u003e\u003cp\u003e- \u003cb\u003eComprehensive Exploration\u003c\/b\u003e: 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.\u003c\/p\u003e\u003cp\u003e- 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.\u003c\/p\u003e\u003cp\u003e- \u003cb\u003ePractical Insights\u003c\/b\u003e: Practical workflows and demonstrations guide readers through the application of AI techniques in real-world medical scenarios, offering insights that transcend theoretical boundaries.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThompson Stephan\u003c\/b\u003e earned his Ph.D. in Computer Science and Engineering from Pondicherry University, India, in 2018. Currently serving as an Associate Professor in the Department of Computer Science \u0026amp; Engineering at Graphic Era Deemed to be University, Dehradun, Uttarakhand, India, he achieved recognition among the world's top 2% most influential scientists for 2023, a distinction jointly conferred by Elsevier and Stanford University, USA. Acknowledged for academic excellence during his master's degree, he secured a university rank. Additionally, he was honored with the Best Researcher Award-2020 and the Protsahan Research Award in 2023 by the IEEE Bangalore Section, India. His research interests primarily focus on implementing and applying artificial intelligence techniques in practical settings. He has authored numerous technical research papers published in renowned journals and conferences by IEEE, Elsevier, Springer, and others. Actively serving as a reviewer for esteemed international journals and working as a book editor, Thompson Stephan is dedicated to advancing the field.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 252\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 21, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":46724712988869,"sku":"9781032438351","price":129.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0757\/6718\/5605\/files\/TJWZktm5tG9781032438351.webp?v=1786672656","url":"https:\/\/selloorium.com\/products\/artificial-intelligence-in-medicine-paperback","provider":"Selloorium","version":"1.0","type":"link"}