相關主題
商品描述
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.
商品描述(中文翻譯)
在不斷演變的醫療領域中，《人工智慧在醫學中的應用》作為一部開創性的指南，提供了對人工智慧（AI）變革力量的深入探索。這本書由該領域的領先專家撰寫，旨在彌合理論理解與實際應用之間的鴻溝，呈現出一段全面的旅程，涵蓋基礎原則、尖端應用及AI在醫療領域的潛在影響。
本書從基礎原則出發，深入探討先進應用，提供了AI在醫學各個方面整合的整體視角。書中明確旨在滿足研究者和實務工作者的需求，範疇涵蓋從基本的AI技術到其在疾病檢測、預測及病人護理中的創新應用。
本書以其實用導向而著稱，每一章節都提供可操作的工作流程，使理論概念能直接應用於現實醫療情境。這種獨特的方法使本書與眾不同，成為學習者和實務工作者的寶貴資源。
主要特色：
- 全面探索：從心臟心律不整的深度學習方法到眼科疾病檢測的先進演算法，本書對關鍵主題進行深入探索，確保對AI在醫學中應用的全面理解。
- 尖端應用：本書深入探討尖端應用，包括基於視覺轉換器的腦腫瘤檢測方法、皮膚癌的早期診斷，以及基於深度學習的模型，利用胸部X光影像進行COVID-19的早期檢測。
- 實用見解：實用的工作流程和示範引導讀者在現實醫療情境中應用AI技術，提供超越理論界限的見解。
本書適合醫學、計算機科學及醫療科技領域的研究者、實務工作者和學生。專注於實際應用，本書是導航AI與醫學之間動態交集的重要指南。無論您是專家還是該領域的新手，這本全面的著作都提供了AI對未來醫療革命性影響的藍圖。
作者簡介
Thompson Stephan 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 & 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.
作者簡介(中文翻譯)
Thompson Stephan於2018年獲得印度龐迪榭里大學的計算機科學與工程博士學位。目前，他在印度烏塔拉坎德邦德哈拉敦的Graphic Era Deemed to be University計算機科學與工程系擔任副教授，並於2023年被認定為全球前2%最具影響力的科學家，這一榮譽由Elsevier和美國史丹佛大學共同頒發。在碩士學位期間，他因學術卓越而獲得大學排名。此外，他還於2020年獲得IEEE班加羅爾分會頒發的最佳研究者獎，並於2023年獲得Protsahan研究獎。他的研究興趣主要集中在人工智慧技術的實施和應用於實際環境中。他已發表多篇技術研究論文，這些論文在IEEE、Elsevier、Springer等知名期刊和會議上發表。Thompson Stephan積極擔任國際知名期刊的審稿人，並擔任書籍編輯，致力於推進該領域的發展。
