AI for the Healthy Brain and Neurological Disorders: Neuroscience Innovation in an Anti-Science Era
暫譯: 健康大腦與神經疾病的人工智慧：反科學時代的神經科學創新
Rudroff, Thorsten
相關主題
商品描述
This book addresses a critical gap at the intersection of artificial intelligence, neuroscience, and the global crisis of anti-science sentiment. Unlike existing texts that focus solely on technical applications or ethical considerations, this work provides a comprehensive framework that integrates cutting-edge AI methodologies with practical strategies for navigating political and social resistance to scientific progress.
The book's unique structure bridges three essential domains: technical innovation in neuroimaging and AI applications, ethical frameworks for responsible development, and actionable solutions for combating anti-science movements. Drawing from the international research experience of the Author across Germany, USA, and Finland, it offers rare cross-cultural insights into how different political systems impact neuroscience research and innovation. The primary objectives include:
1) demonstrating how AI transforms neurological disorder detection and treatment, particularly for conditions like Alzheimer's, Multiple Sclerosis, and Long COVID
2) establishing ethical guidelines for brain-computer interfaces and predictive neuroscience
3) providing evidence-based strategies for scientists to maintain research integrity while engaging effectively with public skepticism, and
4) creating institutional models that protect academic freedom in an era of increasing political polarization.
This work is intended for multiple audiences: healthcare professionals implementing AI solutions, ethicists and policy makers developing governance frameworks, researchers seeking technical advancement, hand science advocates combating misinformation. It fills a crucial gap by being the first comprehensive text to address both the promise of AI in neuroscience and the societal challenges threatening its progress.
The book's highly structured approach--progressing from technical foundations through ethical considerations to practical solutions--ensures readers gain both theoretical understanding and actionable strategies. By combining rigorous scientific content with accessible explanations and real-world case studies, it serves as both an academic reference and a practical guide for navigating the complex landscape of modern neuroscience.
商品描述(中文翻譯)
這本書針對人工智慧、神經科學與全球反科學情緒危機的交集，填補了一個關鍵的空白。與現有僅專注於技術應用或倫理考量的文本不同，本書提供了一個綜合框架，將尖端的人工智慧方法論與應對科學進步所面臨的政治和社會阻力的實用策略相結合。
本書獨特的結構橋接了三個基本領域：神經影像學和人工智慧應用的技術創新、負責任發展的倫理框架，以及對抗反科學運動的可行解決方案。作者在德國、美國和芬蘭的國際研究經驗提供了不同政治體系如何影響神經科學研究和創新的罕見跨文化見解。主要目標包括：
1) 展示人工智慧如何改變神經疾病的檢測和治療，特別是阿茲海默症、多發性硬化症和長期新冠等疾病
2) 建立腦-電腦介面和預測神經科學的倫理指導方針
3) 提供基於證據的策略，幫助科學家在有效應對公眾懷疑的同時維持研究的完整性，以及
4) 創建保護學術自由的機構模型，以應對日益加劇的政治兩極化時代。
本書旨在面向多個受眾：實施人工智慧解決方案的醫療專業人員、制定治理框架的倫理學家和政策制定者、尋求技術進步的研究人員，以及對抗錯誤資訊的科學倡導者。它填補了一個關鍵的空白，成為第一本全面探討人工智慧在神經科學中的潛力及其進步所面臨的社會挑戰的文本。
本書高度結構化的方法——從技術基礎到倫理考量，再到實用解決方案——確保讀者獲得理論理解和可行策略。通過結合嚴謹的科學內容與易於理解的解釋和現實案例研究，它既是學術參考資料，也是導航現代神經科學複雜環境的實用指南。
作者簡介
Thorsten Rudroff is a Professor (Docent) in Experimental Neuroimaging at the Turku PET Centre, University of Turku and Turku University Hospital, Finland. He previously held positions as Associate Professor at the University of Iowa and Assistant Professor at Colorado State University, USA. With over 20 years of experience in neurophysiology research, he has made significant contributions to understanding fatigue and cognitive dysfunction in neurological disorders, particularly in Multiple Sclerosis and Long COVID. His scientific work includes over 90 publications in prestigious journals and the Springer book "Long COVID Fatigue," which addresses the neurological underpinnings of this prevalent post-viral syndrome. Dr. Rudroff received his Ph.D. in Neurophysiology from the University of Constance, Germany, and completed his postdoctoral training at the University of Colorado, Boulder. He is particularly passionate about leveraging artificial intelligence to advance medical research and improve patient outcomes. Dr. Rudroff serves on multiple editorial boards and has received several significant research grants from the National Institutes of Health. His current research focuses on the intersection of neuroimaging, artificial intelligence, and Long COVID, with particular emphasis on developing innovative approaches to understand and treat fatigue symptoms. Furthermore, his focus is on developing AI-driven approaches for early detection of Alzheimer's disease through neuroimaging biomarkers.
作者簡介(中文翻譯)
Thorsten Rudroff 是芬蘭土爾庫大學 (University of Turku) 和土爾庫大學醫院 (Turku University Hospital) 的實驗神經影像學教授 (Docent)。他曾擔任美國愛荷華大學 (University of Iowa) 的副教授和科羅拉多州立大學 (Colorado State University) 的助理教授。擁有超過 20 年的神經生理學研究經驗，他在理解神經疾病中的疲勞和認知功能障礙方面做出了重要貢獻，特別是在多發性硬化症 (Multiple Sclerosis) 和長期新冠 (Long COVID) 的研究中。他的科學工作包括在知名期刊上發表的超過 90 篇論文，以及斯普林格 (Springer) 出版的書籍《長期新冠疲勞 (Long COVID Fatigue)》，該書探討了這種普遍的病毒後綜合症的神經學基礎。Rudroff 博士在德國康斯坦茨大學 (University of Constance) 獲得神經生理學博士學位，並在科羅拉多大學博爾德分校 (University of Colorado, Boulder) 完成了博士後訓練。他特別熱衷於利用人工智慧 (artificial intelligence) 來推進醫學研究並改善病人結果。Rudroff 博士擔任多個編輯委員會成員，並獲得了來自國家衛生研究院 (National Institutes of Health) 的多項重要研究經費。他目前的研究專注於神經影像學、人工智慧與長期新冠的交集，特別強調開發創新的方法來理解和治療疲勞症狀。此外，他的重點是通過神經影像生物標記開發基於人工智慧的早期檢測阿茲海默症 (Alzheimer's disease) 的方法。
