Intelligent Precision Healthcare: Multimodal Generative AI for Neurodegenerative Disease Management
暫譯: 智慧精準醫療：運用多模態生成式 AI 管理神經退化性疾病
Koundal, Deepika, Khan, Mudassir, Atul Mahajan, Rupali
- 出版商: CRC
- 出版日期: 2026-10-12
- 售價: $5,520
- 貴賓價: 9.5 折 $5,244
- 語言: 英文
- 頁數: 304
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041128673
- ISBN-13: 9781041128670
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相關分類:
DeepLearning、Machine Learning
尚未上市，無法訂購
商品描述
Artificial Intelligence is reshaping modern healthcare in remarkable ways. This book explores how multimodal generative AI integrates clinical, genetic, and imaging data to improve the understanding and management of neurodegenerative diseases. Bridging technology and medicine, it offers accessible insights into next-generation precision healthcare and its real-world impact. Designed for researchers, clinicians, and informed readers alike, it highlights practical applications, ethical considerations, and future possibilities in AI-driven neurological care.
This volume provides a comprehensive examination of how multimodal generative AI techniques can be applied to the diagnosis, monitoring, and management of neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. It covers foundational concepts in precision healthcare, multimodal data integration (including genetic, clinical, and neuroimaging data), and advanced modeling approaches for disease progression prediction. The book also explores synthetic data generation for rare conditions, explainable and interpretable AI models for clinical decision support, and AI-driven early detection systems. Dedicated chapters address ethical, legal, and regulatory considerations, interdisciplinary collaboration, and patient-centric AI design. Through case studies and real-world applications, the book demonstrates how intelligent systems can enhance personalized treatment planning, improve clinical outcomes, and support data-driven healthcare innovation.
商品描述(中文翻譯)
人工智慧（Artificial Intelligence）正以非凡的方式重塑現代醫療。本書探討多模態生成式 AI 如何整合臨床、遺傳與醫學影像資料，以提升對神經退化性疾病的理解與管理。透過銜接科技與醫學，本書以易於理解的方式介紹次世代精準醫療及其在真實世界中的影響。無論是研究人員、臨床醫師或具備相關知識的讀者，都能從本書中了解 AI 驅動的神經醫療之實務應用、倫理考量與未來發展可能性。
本書全面探討如何將多模態生成式 AI 技術應用於 Alzheimer’s disease、Parkinson’s disease 等神經退化性疾病的診斷、監測與管理。內容涵蓋精準醫療的基礎概念、多模態資料整合（包括遺傳、臨床與神經影像資料），以及用於預測疾病進程的先進建模方法。本書亦探討罕見疾病的合成資料生成、用於臨床決策支援的可解釋與可詮釋 AI 模型，以及 AI 驅動的早期偵測系統。專章則聚焦於倫理、法律與法規考量、跨領域協作，以及以患者為中心的 AI 設計。透過案例研究與真實世界的應用，本書展示智慧系統如何強化個人化治療規劃、改善臨床結果，並支援資料驅動的醫療創新。
作者簡介
Deepika Koundal is a distinguished academic at the University of Eastern Finland, specializing in Artificial Intelligence, Machine Learning, and healthcare analytics. Her research focuses on intelligent data-driven solutions for medical and biomedical applications, contributing significantly to interdisciplinary innovation and global research collaborations. She has published extensively in reputed international journals and actively leads research initiatives in AI-driven healthcare technologies, fostering academic excellence and industry partnerships worldwide.
Mudassir Khan is an accomplished academician and researcher specializing in Big Data Analytics, Deep Learning, AI, and healthcare applications. Holding a Ph.D. in Big Data Analytics using Deep Learning, he is currently pursuing a postdoctoral fellowship at Multimedia University, Malaysia, while serving as Assistant Professor at King Khalid University, Saudi Arabia. With over 14 years of experience, he has authored 100+ SCI/SCOPUS-indexed papers, four books, and edited numerous volumes with leading publishers.
Rupali A. Mahajan is an accomplished academician and researcher specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science applications. Holding a Ph.D. in Computer Science and Engineering, she completed her postdoctoral research at the Singapore Institute of Technology. She currently serves as Associate Professor in the Department of Data Science at Vishwakarma Institute of Information Technology, Pune. With over 17 years of professional experience, she has authored 7 books, published 50+ research papers, and held 18 patents across diverse domains.
Rajesh Dey is a distinguished researcher specializing in Artificial Intelligence, Machine Learning, and FinTech. Currently a Postdoctoral Fellow at IIUM, Malaysia, he holds a Ph.D. in Adaptive Signal Correction. With over 17 years of experience, he has published extensively and contributed to embedded systems, IoT, robotics, and sustainable EV technologies. He has served in key academic and industry roles, including Associate Professor and Technical Director. A certified Design Thinking Coach, he actively collaborates with international universities and research institutions, mentoring students and driving innovation in emerging technologies.
作者簡介(中文翻譯)
Deepika Koundal 是芬蘭東部大學的傑出學者，專長於人工智慧（Artificial Intelligence）、機器學習（Machine Learning）與醫療保健分析。她的研究聚焦於醫療與生物醫學應用的智慧型資料驅動解決方案，對跨領域創新及全球研究合作貢獻良多。她在知名國際期刊發表了大量研究成果，並積極領導人工智慧驅動的醫療保健技術研究計畫，促進全球學術卓越與產學合作。
Mudassir Khan 是一位成就卓著的學者與研究人員，專長於大數據分析（Big Data Analytics）、深度學習（Deep Learning）、人工智慧（AI）及醫療保健應用。他擁有以深度學習進行大數據分析的博士學位，目前於馬來西亞 Multimedia University 進行博士後研究，同時擔任沙烏地阿拉伯 King Khalid University 助理教授。憑藉超過 14 年的經驗，他已發表 100 多篇收錄於 SCI／SCOPUS 的論文，出版 4 本書，並與多家知名出版社合作編輯多部專書。
Rupali A. Mahajan 是一位成就卓著的學者與研究人員，專長於人工智慧（Artificial Intelligence）、機器學習（Machine Learning）、深度學習（Deep Learning）及資料科學應用。她擁有電腦科學與工程博士學位，並於 Singapore Institute of Technology 完成博士後研究。目前，她擔任 Pune Vishwakarma Institute of Information Technology 資料科學系副教授。她擁有超過 17 年的專業經驗，已出版 7 本書、發表 50 多篇研究論文，並在不同領域取得 18 項專利。
Rajesh Dey 是一位傑出的研究人員，專長於人工智慧（Artificial Intelligence）、機器學習（Machine Learning）與金融科技（FinTech）。目前，他是馬來西亞 IIUM 的博士後研究員，並擁有自適應訊號校正（Adaptive Signal Correction）博士學位。憑藉超過 17 年的經驗，他發表了大量研究成果，並投入嵌入式系統、物聯網（IoT）、機器人技術及永續電動車（EV）技術等領域。他曾擔任副教授及技術總監等重要學術與產業職務。身為認證設計思考教練（Design Thinking Coach），他積極與國際大學及研究機構合作，指導學生並推動新興技術領域的創新。
