Robotics and Generative AI in Healthcare: A New Era of Innovation
暫譯: 醫療領域的機器人技術與生成式人工智慧：創新新時代
Kumar, Deepika, Mishra, Gargi, Hemanth, Jude D.
商品描述
The book reviews the transformative impact of robotics and generative AI technologies on healthcare. It covers the engineering principles and key technologies that support modern healthcare robotics. By explaining the core components and their functions, the book provides readers with a deep understanding of how these technologies contribute to medical innovations. It also explores the basics of generative AI, focusing on its underlying models and practical applications, including its role in transforming diagnostics. The book explains the applications of generative AI in diagnostic precision, and in improving patient care.
Furthermore, the practical aspects of integrating these technologies into healthcare settings are addressed, including the challenges and opportunities involved. It discusses the ethical considerations surrounding the use of robotics and AI, such as data privacy, bias, and regulatory compliance. The final chapters deal with future developments, emerging trends, and potential innovations in the field, offering a forward-looking perspective on how robotics and AI will continue to shape the future of healthcare.
Key Features:
- Deals with the convergence of robotics and generative AI in healthcare
- Provides a holistic coverage of the technical, clinical, and ethical aspects of robotics and generative AI in healthcare
- Reviews the core technologies behind healthcare robotics
- Addresses important ethical considerations and regulatory challenges associated with implementing robotics and AI in healthcare
- Explores emerging trends and future innovations in robotics and AI, offering readers insights into what is next in the field
商品描述(中文翻譯)
本書回顧了機器人技術和生成式人工智慧（generative AI）技術對醫療保健的變革性影響。它涵蓋了支持現代醫療機器人的工程原則和關鍵技術。通過解釋核心組件及其功能，本書使讀者深入了解這些技術如何促進醫療創新。它還探討了生成式人工智慧的基本概念，重點介紹其底層模型和實際應用，包括其在診斷轉型中的角色。本書解釋了生成式人工智慧在診斷精確性和改善病人護理方面的應用。
此外，本書還探討了將這些技術整合到醫療環境中的實際方面，包括所面臨的挑戰和機會。它討論了與使用機器人和人工智慧相關的倫理考量，例如數據隱私、偏見和法規遵循。最後幾章處理未來發展、新興趨勢和該領域潛在創新，提供了一個前瞻性的視角，探討機器人和人工智慧將如何繼續塑造醫療保健的未來。
主要特點：
- 處理機器人技術和生成式人工智慧在醫療保健中的融合
- 全面涵蓋機器人技術和生成式人工智慧在醫療保健中的技術、臨床和倫理方面
- 回顧醫療機器人的核心技術
- 討論與在醫療保健中實施機器人和人工智慧相關的重要倫理考量和法規挑戰
- 探索機器人和人工智慧中的新興趨勢和未來創新，為讀者提供該領域的未來洞察
作者簡介
Deepika Kumar is an Associate Professor and Head of Department, Computer Science & Engineering at Bharati Vidyapeeth's College of Engineering, New Delhi. She has a PhD in the area of Machine Learning and Bioinformatics. She has more than 16 years of teaching experience. Her research interests are Machine Learning, Artificial Intelligence and Bioinformatics. She has been granted two patents and published more than 30 research papers in various SCI, SCIE, Scopus indexed journals and conferences. She has also published a book Dimensionality Reduction, Feature Extraction, and Manifold in Machine Learning. She received "Best Researcher Award" for consecutively four years for her contribution in research at Bharati Vidyapeeth's College of Engineering, New Delhi.
Gargi Mishra has a Master's degree from the Indian Institute of Technology, Roorkee, and a PhD in Machine Learning from GGSIP University, New Delhi. With over 15 years of experience in teaching, technical writing, and research, she is currently an Associate Professor at Bharati Vidyapeeth's College of Engineering, New Delhi, in the Department of Computer Science and Engineering. Her research interests include artificial intelligence, machine learning, and computer vision.
Jude D Hemanth is a Full Professor in the Department of ECE at Karunya University, Coimbatore, India. He holds a B.E. in ECE, an M.E. in Communication Systems, and a Ph.D. in Computational Intelligence and Image Processing. He has authored over 280 research papers in reputed journals and conferences, with a cumulative impact factor exceeding 520, and has published 49 edited books with leading publishers. Dr. Hemanth serves as Associate Editor for several SCIE-indexed journals, including IEEE JBHI, IEEE Transactions on ITS, Soft Computing (Springer), IET Image Processing, and Heliyon (Elsevier). He is the series editor for the "Biomedical Engineering" series (Elsevier) and "Robotics and Healthcare" (CRC Press), and a board member for the ASTI series (Springer). He has led and collaborated on funded research projects from the UK (GCRF), CSIR, and DST (India), and is affiliated as a Research Scientist with labs in Argentina, Brazil, Tunisia, Romania, and Spain. Dr. Hemanth has delivered 200+ keynote talks worldwide and is a certified NVIDIA Deep Learning instructor.
作者簡介(中文翻譯)
Deepika Kumar 是新德里 Bharati Vidyapeeth 工程學院計算機科學與工程系的副教授及系主任。她在機器學習和生物資訊學領域擁有博士學位，並擁有超過 16 年的教學經驗。她的研究興趣包括機器學習、人工智慧和生物資訊學。她已獲得兩項專利，並在多個 SCI、SCIE、Scopus 索引的期刊和會議上發表了超過 30 篇研究論文。她還出版了一本書 Dimensionality Reduction, Feature Extraction, and Manifold in Machine Learning。因其在 Bharati Vidyapeeth 工程學院的研究貢獻，她連續四年獲得「最佳研究者獎」。
Gargi Mishra 擁有印度理工學院 Roorkee 的碩士學位，以及新德里 GGSIP 大學的機器學習博士學位。她在教學、技術寫作和研究方面擁有超過 15 年的經驗，目前是新德里 Bharati Vidyapeeth 工程學院計算機科學與工程系的副教授。她的研究興趣包括人工智慧、機器學習和計算機視覺。
Jude D Hemanth 是印度 Coimbatore Karunya 大學電子與通信工程系的正教授。 他擁有電子與通信工程的學士學位、通信系統的碩士學位，以及計算智能和影像處理的博士學位。他在知名期刊和會議上發表了超過 280 篇研究論文，累計影響因子超過 520，並與主要出版商出版了 49 本編輯書籍。Hemanth 博士擔任多本 SCIE 索引期刊的副編輯，包括 IEEE JBHI、IEEE Transactions on ITS、Soft Computing (Springer)、IET Image Processing 和 Heliyon (Elsevier)。他是「生物醫學工程」系列 (Elsevier) 和「機器人與醫療保健」 (CRC Press) 的系列編輯，並且是 ASTI 系列 (Springer) 的委員會成員。他曾主導並合作進行來自英國 (GCRF)、CSIR 和印度 DST 的資助研究項目，並與阿根廷、巴西、突尼西亞、羅馬尼亞和西班牙的實驗室合作，擔任研究科學家。Hemanth 博士在全球發表了超過 200 場主題演講，並且是經過認證的 NVIDIA 深度學習講師。
