Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare
暫譯: 人工智慧革新癌症護理：精準診斷與以病人為中心的醫療保健
Kumar Swarnkar, Suman, Guru, Abhishek, Chhabra, Gurpreet Singh
相關主題
商品描述
In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. "Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare" delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift towards personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. "Artificial Intelligence Revolutionizing Cancer Care" is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.
This book:
- Focuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sector.
- Emphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient care.
- Covers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applications. Explores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparities. Provides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networks.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.
商品描述(中文翻譯)
在不斷演變的癌症治療領域，人工智慧（AI）與醫學科學的融合標誌著向更精確、高效和個性化醫療的突破性轉變。《人工智慧革命化癌症護理：精準診斷與以病人為中心的醫療》深入探討了AI的變革力量，全面探索其在提升癌症診斷、治療和病人管理中的角色。本書匯集了領先的專家和研究人員，闡明了應用於腫瘤學的AI技術的最新進展。從預測癌症進展的機器學習算法到提高診斷準確性的先進影像技術，本書涵蓋了一系列重塑癌症護理的創新。主要亮點包括精準診斷，揭示AI驅動的工具如何革命化各種癌症類型的早期檢測和準確分類，從而改善病人結果；以病人為中心的方法，探索向個性化醫療的轉變，AI如何根據個別病人檔案量身定制治療方案，確保更有效和針對性的療法；以及倫理和實務考量，深入了解在醫療中整合AI的倫理、實務和監管挑戰，強調病人隱私和數據安全的必要性。此外，本書展望了AI在腫瘤學的潛在未來應用，包括預測分析、機器人手術等。《人工智慧革命化癌症護理》是醫療專業人員、研究人員和學生了解AI與腫瘤學交集的重要資源。它提供了一個前瞻性的視角，展示尖端技術如何提升病人護理並改變對抗癌症的戰鬥。
本書：
- 專注於人工智慧與癌症診斷在醫療領域的關鍵交集。
- 強調人工智慧在改善癌症檢測、治療和整體病人護理方面的實際影響。
- 涵蓋人工智慧算法、機器學習技術、醫學影像分析、預測建模和病人護理應用。探討人工智慧技術如何提升病人的體驗，從而改善結果並減少醫療差距。為讀者提供機器學習模型背後的數學理解，包括決策樹、支持向量機和深度神經網絡。
本書主要針對電機工程、電子與通信工程、計算機科學與工程、生物醫學工程和資訊科技領域的高年級本科生、研究生和學術研究人員。
作者簡介
Suman Kumar Swanrkar received a Ph.D. (CSE) degree in 2021 from Kalinga University, Nayar Raipur. He received M.Tech. (CSE) degree in 2015 from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has 2+ year of experience in IT industry as Software Engineer and 6+ year of experience in Educational Institutes as Assistant Professor. Currently associated with Shri Shankaracharya Institute of Professional Management and Technology, raipur as Assistant Professor in Computer Science & Engineering Department. He Has Guided 5+ MTech Scholars and some of undergoing. He has Published and grant Indian/Australian patent, some are waiting for grant. He has authored and co-authored of more than 15 journal articles including WOS & Scopus papers Presented research paper in 3 international conferences. He has Contributed to book chapter, published by publications of international repute. He has lifetime Membership of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, CSTA. He has Successfully completed many FDP, Training, webinar & Workshop and Completed the 2-Weeks comprehensive online Patent Information Course. Proficiency in handling the Teaching, Research as well as administrative activities. He has contributed massive literature in the fields of Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing.
Abhishek Guru received a Ph.D. (CSE) degree in 2021 from Kalinga University, Naya Raipur. He received his MSc. (CS) degree in 2012 from Makhanlal Chaturvedi Rashtriya Patrakarita Vishwavidyalaya, Bhopal, India. He has 3 Months of experience in IT industry as a Software Engineer and 10.1 years of experience in educational institutes as an Assistant Professor. Currently associated with KL Deemed to Be University, Green Fields, Vaddeswaram, India as Assistant Professor in Computer Science & Engineering Department. He has published and granted Indian/Australian patents, some are waiting for grants. He has authored and co-authored of more than 10 journal articles including WOS & Scopus papers Presented research papers in 2 international conferences. He has contributed to book chapters, published by reputed international publishers and has lifetime Membership of IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOIP, EAI, CSTA. He has successfully completed many FDP, Training, webinar & workshops. and also Completed the 2-Weeks comprehensive online Patent Information Course. Proficiency in handling Teaching, Research as well as administrative activities. He has contributed massive literature in the fields of Network Security, Cyber Security, Cryptography, and IoT.
Gurpreet Singh Chhabra (Ph.D. CSE) has more than 15 years of teaching experience and is currently working as an Assistant Professor in the Computer Science & Engineering department at GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam. He has research interests in Deep Learning, Machine Learning, Data Science, and Fog Computing. He is a life member of the ISTE (Indian Society for Technical Education) and IAENG (International Association of Engineers). Also, He has credit for many national and international papers, patents, books, and book chapters. His qualifications are fortified with a great deal of creativity and problem-solving skills.
Harshitha Raghavan Devarajan is an AI researcher with an unwavering passion for revolutionizing the healthcare industry through the potential of advanced technology. Graduating from New York University, he has consistently sought out opportunities to engage in meaningful research and contribute to technological advancements. His journey embodies the synergy between a deep-rooted commitment to pushing the boundaries of innovation and a profound understanding of the transformative power of artificial intelligence. With "Reimagining Healthcare: AI's Journey to Transforming an Industry," he invites the readers to explore his experiences and insights as he strives to reshape healthcare through the lens of cutting-edge AI, aiming to make a lasting impact on countless lives.
作者簡介(中文翻譯)
**Suman Kumar Swanrkar** 於2021年獲得卡林加大學（Kalinga University, Nayar Raipur）計算機科學與工程（CSE）博士學位。他於2015年獲得印度博帕爾的拉吉夫甘地技術大學（Rajiv Gandhi Proudyogiki Vishwavidyalaya）計算機科學與工程碩士學位。他在IT產業擔任軟體工程師已有超過2年的經驗，並在教育機構擔任助理教授超過6年。目前，他在賽普爾（Raipur）的施里尚卡拉查里亞專業管理與技術學院（Shri Shankaracharya Institute of Professional Management and Technology）計算機科學與工程系擔任助理教授。他指導了5位以上的碩士研究生，並有一些正在進行中。他已經發表並獲得印度/澳大利亞專利，其中一些正在等待授權。他是15篇以上期刊文章的作者和合著者，包括WOS和Scopus論文，並在3個國際會議上發表研究論文。他為國際知名出版商出版的書籍章節做出了貢獻。他是IEEE、IAENG、ASR、IFERP、ICSES、Internet Society、UACEE、IAOIP、EAI和CSTA的終身會員。他成功完成了多個FDP、培訓、網路研討會和工作坊，並完成了為期兩週的綜合線上專利資訊課程。他在教學、研究及行政活動方面具備豐富的處理能力。他在智能數據分析、自然啟發計算、機器學習和軟計算等領域貢獻了大量文獻。
**Abhishek Guru** 於2021年獲得卡林加大學（Kalinga University, Naya Raipur）計算機科學與工程（CSE）博士學位。他於2012年獲得印度博帕爾的馬克漢拉爾查圖維迪國立新聞學大學（Makhanlal Chaturvedi Rashtriya Patrakarita Vishwavidyalaya）計算機科學碩士學位。他在IT產業擔任軟體工程師的經驗為3個月，在教育機構擔任助理教授的經驗為10.1年。目前，他在印度瓦德斯瓦拉姆的KL被認可為大學（KL Deemed to Be University）計算機科學與工程系擔任助理教授。他已經發表並獲得印度/澳大利亞專利，其中一些正在等待授權。他是10篇以上期刊文章的作者和合著者，包括WOS和Scopus論文，並在2個國際會議上發表研究論文。他為國際知名出版商出版的書籍章節做出了貢獻，並且是IAENG、ASR、IFERP、ICSES、Internet Society、UACEE、IAOIP、EAI和CSTA的終身會員。他成功完成了多個FDP、培訓、網路研討會和工作坊，並完成了為期兩週的綜合線上專利資訊課程。他在教學、研究及行政活動方面具備豐富的處理能力。他在網路安全、網路安全、密碼學和物聯網等領域貢獻了大量文獻。
**Gurpreet Singh Chhabra (Ph.D. CSE)** 擁有超過15年的教學經驗，目前在吉坦科技學院（GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam）的計算機科學與工程系擔任助理教授。他的研究興趣包括深度學習、機器學習、數據科學和霧計算。他是印度技術教育學會（ISTE）和國際工程師協會（IAENG）的終身會員。此外，他在許多國內外論文、專利、書籍和書籍章節中都有貢獻。他的資格結合了豐富的創造力和解決問題的能力。
**Harshitha Raghavan Devarajan** 是一位人工智慧研究員，對於通過先進技術改變醫療行業充滿熱情。他畢業於紐約大學，並持續尋求參與有意義的研究和貢獻技術進步的機會。他的旅程體現了對推動創新邊界的深厚承諾與對人工智慧轉型力量的深刻理解之間的協同關係。在《重新想像醫療：人工智慧改變行業的旅程》中，他邀請讀者探索他的經歷和見解，努力通過尖端人工智慧的視角重塑醫療，旨在對無數生命產生持久影響。
