Smarter Healthcare Through Generative Intelligence
暫譯: 透過生成智能實現更智慧的醫療保健
Jain, Vibha, Gupta, Aditya, Singh, Amritpal
- 出版商: Auerbach Publication
- 出版日期: 2026-09-08
- 售價: $6,660
- 貴賓價: 9.5 折 $6,327
- 語言: 英文
- 頁數: 188
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032958308
- ISBN-13: 9781032958309
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相關分類:
ChatGPT
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商品描述
Generative artificial intelligence (AI) has potential to improve healthcare because it can enable smarter, more efficient solutions across diagnostics, treatment, and patient care. By analyzing vast amounts of medical data, generative AI systems can identify patterns, predict disease progression, and assist in early diagnosis with remarkable accuracy. It enhances personalized medicine by generating tailored treatment plans based on individual patient profiles, including genetic, lifestyle, and clinical data.
Smarter Healthcare Through Generative Intelligence examines the convergence of healthcare and intelligent computation and how it is reshaping the global healthcare landscape. Focusing on applications and management issues, it looks at generative models, privacy-aware distributed computing, smart sensing technologies, and policy frameworks. From data augmentation to drug discovery and from mental health assessment to intelligent patient
communication, the book explores the ways generative AI can transform healthcare.
Highlights include:
- Fog computing for smart healthcare
- Leveraging generative intelligence to overcome dataset limitations in emotional well-being analysis
- Ethical considerations in AI-driven smart healthcare
- Designing intelligent chatbots for healthcare
Generative AI is transforming healthcare into a more proactive, precise, and patient-centered industry. Written for healthcare practitioners, researchers, policymakers, and technologists, this book is a guide on how they can design, adopt, and govern generative technologies for smarter healthcare.
商品描述(中文翻譯)
生成式人工智慧(AI)具有改善醫療保健的潛力,因為它能夠在診斷、治療和病人護理方面提供更智能、更高效的解決方案。透過分析大量的醫療數據,生成式AI系統可以識別模式、預測疾病進展,並以驚人的準確性協助早期診斷。它透過根據個別病人的資料(包括基因、生活方式和臨床數據)生成量身定制的治療計劃,增強了個性化醫療。
《透過生成智慧實現更智能的醫療保健》探討了醫療保健與智能計算的交匯,以及它如何重塑全球醫療保健的格局。該書專注於應用和管理問題,研究生成模型、注重隱私的分散式計算、智能感測技術和政策框架。從數據增強到藥物發現,從心理健康評估到智能病人溝通,這本書探討了生成式AI如何改變醫療保健的方式。
重點包括:
- 用於智能醫療的雲端計算
- 利用生成智慧克服情緒健康分析中的數據集限制
- AI驅動的智能醫療中的倫理考量
- 為醫療保健設計智能聊天機器人
生成式AI正在將醫療保健轉變為一個更主動、更精確且以病人為中心的行業。本書為醫療從業人員、研究人員、政策制定者和技術專家撰寫,指導他們如何設計、採用和管理生成技術,以實現更智能的醫療保健。
作者簡介
Vibha Jain is working as an assistant professor in the Department of Computer Science and Engineering at Thapar Institute of Engineering and Technology, Patiala (Punjab), India, since 2024. She completed her PhD in Computer Science and Engineering from the Netaji Subhas University of Technology, Delhi. She received a Gold Meda for her Master of Technology in Computer Science and Engineering from the National Institute of Technology, Hamirpur. She has more than 35 papers to her credit and has an interest in vast research domains, including Internet of Things, blockchain, edge/fog computing, and resource scheduling/allocation.
Aditya Gupta has been serving as an assistant professor with the Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala (Punjab), India, since 2023. He received his PhD in Computer Science and Engineering from Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, for his dissertation on "Design and Analysis of a Centric Intelligent Frameworks for Healthcare 4.0." His research interests include healthcare informatics, predictive analytics, and cyber- physical systems. He has published various research papers in highimpact reputed international journals and completed centrally funded research projects, jointly sponsored by the World Bank and the Ministry of Education (MoE), Government of India.
Amritpal Singh has been serving as assistant professor in the Department of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. He received his PhD in Computer Science and Engineering from Thapar University, Patiala, India. He served both industry and academia. He has published many articles in journals of high repute. His research interests include probabilistic data structures, machine learning, and big data.
Prabal Verma is currently an assistant professor in the Department of Information Technology at NIT Srinagar, India, with prior academic roles under TEQIP- III and at Thapar Institute of Engineering and Technology. He holds a PhD in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, and has research interests in big data analytics, machine deep learning, and edge-cloud computing; he has published extensively in high-impact international journals and conferences by IEEE, Elsevier, Wiley, Taylor & Francis Group, and Springer. He serves as a reviewer and editorial board member for reputed SCI- indexed journals, led TEQIP-III projects, is currently executing a JKSTIC- funded project, and holds GATE, UGC- NET, and JKSET qualifications with high percentiles.
Tawseef Ayoub is senior assistant professor in the Department of Computer Science and Engineering, National Institute of Technology (NIT), Srinagar, India. Before joining NIT Srinagar, he worked as an assistant professor in the CSE Department at Pandit Deen Dayal Energy University (PDEU), Gandhinagar, Gujarat. In addition, he worked as an assistant professor (TEQIP-III, NPIU, MHRD) in the Computer Science Engineering Department, Baba Ghulam Shah Badshah University (BGSBU) Rajouri, Jammu & Kashmir, for three years. He was awarded a Visvesvaraya PhD fellowship from MeitY (Ministry of Electronics and Information Technology, Media Lab Asia, GoI), pursuing his PhD. He has been granted six fully funded projects from NPIU, MHRD, and JKSTIC, and all these projects have been completed. He has qualified for UGC NET, GATE, and JKSLET in Computer Science Engineering/ Applications. His research interests include biomedical data analytics, computer- aided diagnostics tools for precision medicine, healthcare informatics, pattern recognition, and machine intelligence. He has published various journal and conference papers, book chapters, etc. in reputed international publishing houses and has authored two books.
作者簡介(中文翻譯)
Vibha Jain 自2024年起在印度旁遮普邦的塔帕爾工程技術學院(Thapar Institute of Engineering and Technology)計算機科學與工程系擔任助理教授。她在德里內塔吉·蘇巴斯科技大學(Netaji Subhas University of Technology)獲得計算機科學與工程的博士學位。她在哈米爾普爾國立技術學院(National Institute of Technology, Hamirpur)獲得計算機科學與工程碩士學位,並獲得金獎。她發表了超過35篇論文,研究興趣涵蓋物聯網(Internet of Things)、區塊鏈(blockchain)、邊緣/霧計算(edge/fog computing)以及資源調度/分配(resource scheduling/allocation)等廣泛領域。
Aditya Gupta 自2023年起在印度旁遮普邦的塔帕爾工程技術學院(Thapar Institute of Engineering and Technology)電氣與儀器工程系擔任助理教授。他在賈蘭達爾的德拉·B·R·安貝德卡國立技術學院(Dr. B. R. Ambedkar National Institute of Technology)獲得計算機科學與工程的博士學位,論文題目為「Healthcare 4.0的以中心為主的智能框架的設計與分析(Design and Analysis of a Centric Intelligent Frameworks for Healthcare 4.0)」。他的研究興趣包括醫療信息學(healthcare informatics)、預測分析(predictive analytics)和網絡物理系統(cyber-physical systems)。他在高影響力的國際期刊上發表了多篇研究論文,並完成了由世界銀行和印度政府教育部(Ministry of Education, MoE)共同資助的中央資助研究項目。
Amritpal Singh 在印度賈蘭達爾的德拉·B·R·安貝德卡國立技術學院(Dr. B. R. Ambedkar National Institute of Technology Jalandhar)計算機科學與工程系擔任助理教授。他在印度旁遮普的塔帕爾大學(Thapar University)獲得計算機科學與工程的博士學位,並在產業和學術界都有工作經驗。他在多個知名期刊上發表了許多文章,研究興趣包括概率數據結構(probabilistic data structures)、機器學習(machine learning)和大數據(big data)。
Prabal Verma 目前在印度斯利那加的國立技術學院(NIT Srinagar)信息技術系擔任助理教授,之前在TEQIP-III和塔帕爾工程技術學院擔任學術職位。他在阿姆利則的古魯納納克大學(Guru Nanak Dev University)獲得計算機科學與工程的博士學位,研究興趣包括大數據分析(big data analytics)、深度機器學習(machine deep learning)和邊緣雲計算(edge-cloud computing);他在IEEE、Elsevier、Wiley、Taylor & Francis Group和Springer等高影響力的國際期刊和會議上發表了大量論文。他擔任多個知名SCI索引期刊的審稿人和編輯委員會成員,主導TEQIP-III項目,目前正在執行一個由JKSTIC資助的項目,並持有GATE、UGC-NET和JKSET的高分資格。
Tawseef Ayoub 是印度斯利那加國立技術學院(NIT)計算機科學與工程系的高級助理教授。在加入NIT斯利那加之前,他曾在古吉拉特邦的潘迪特·丁·達亞爾能源大學(Pandit Deen Dayal Energy University, PDEU)計算機科學與工程系擔任助理教授。此外,他還在查謨和克什米爾的巴巴·古拉姆·沙阿·巴德沙大學(Baba Ghulam Shah Badshah University, BGSBU)計算機科學與工程系擔任助理教授(TEQIP-III, NPIU, MHRD)三年。他獲得了來自印度電子與信息技術部(MeitY)頒發的Visvesvaraya博士獎學金,並正在攻讀博士學位。他獲得了來自NPIU、MHRD和JKSTIC的六個全額資助項目,所有這些項目均已完成。他在計算機科學與工程/應用領域的UGC NET、GATE和JKSLET考試中均合格。其研究興趣包括生物醫學數據分析(biomedical data analytics)、精準醫療的計算機輔助診斷工具(computer-aided diagnostics tools for precision medicine)、醫療信息學、模式識別(pattern recognition)和機器智能(machine intelligence)。他在知名國際出版社發表了多篇期刊和會議論文、書籍章節等,並著有兩本書。