AI and Neuro-Degenerative Diseases: Insights and Solutions
暫譯: 人工智慧與神經退化性疾病：洞察與解決方案
Gaur, Loveleen, Abraham, Ajith, Ajith, Reuel
商品描述
This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art.
Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.商品描述(中文翻譯)
這本書探討了當前醫療實踐的狀態，並提供了一個利用人工智慧（AI）及其他現代認知技術來應對神經退行性疾病的路線圖。本書的主要目標是研究這些技術如何通過從多種模態中提取數據來對神經退行性疾病患者進行分類。它展示了計算機輔助診斷系統的日益發展在診斷過程中具有很大的潛力。書中分析了實施這些尖端技術的前景與風險。
在一般人群中，高盛行率的進行性腦部疾病包括帕金森病、阿茲海默病及其他類型的癡呆症、亨廷頓病和運動神經元病。根據全球估計，約有3300萬人患有阿茲海默病，1000萬人患有帕金森病。這些疾病對全球健康經濟造成了重大影響，影響著患者及其照護者。各種診斷技術被用於鑑別診斷，例如腦部影像學、腦電圖（EEG）分析、分子分析，以及認知、心理和身體檢查。本書旨在開發有效的治療方法，提升患者的生活質量，並延長壽命。它專注於新穎的人工智慧方法，以澄清神經退行性疾病的發病機制並提供早期診斷。作者匯編了基於機器學習和深度學習技術的最新發展，以利用影像、基因和臨床數據診斷神經退行性疾病。作者支持旨在改善算法在診斷實踐中應用的倡議和方法。
作者簡介
Dr. Loveleen Gaur is currently working as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was working as Professor with Amity University, India. She has supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals.
She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experiencein supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master's students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks.
She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. She has been honored with prestigious National and International awards.
She has introduced courses related to Artificial Intelligence specialization including, Predictive Analytics, Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses, including Predictive Analytics, Data Visualization, Social Network Analytics, Deep Learning, Power BI, Digital Marketing and Digital Innovation etc., besides other undergraduate and postgraduate courses, graduation projects, and thesis supervision.
Dr. Abraham is the Officiating Vice Chancellor at Bennett University, India. Prior to this, he was the Dean of Faculty of Computing andMathematical Sciences at FLAME University and the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network forInnovation and Research Excellence connecting Industry and Academia. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$. During the last five years, he has held two University Professorial appointments: Professor of Artificial Intelligence in Innopolis University, Russia and the Yayasan TunIsmail Mohamed Ali Professorial Chair in Artificial Intelligence of UCSI, Malaysia. Dr. Abraham works in a multi-disciplinary environment, and he has authored / co-authored more than 1,500+ research publications out of which there are 100+ books covering various aspects of Computer Science. One of his books was translated to Japanese and a few other articles were translated to Russianand Chinese. Dr. Abraham has more than 57,000+ academic citations (h-index of 114+as per google scholar). He has given more than 200+ plenary lectures and conference tutorials (in 20+ countries). Dr. Abraham was the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (which has over 200+ members) during 2008-2021 and served as a DistinguishedLecturer of IEEE Computer Society representing Europe (2011-2013). Dr. Abraham was the editor-in-chief of Engineering Applications of Artificial Intelligence, Elsevier during 2016-2021 and serves / served on the editorial board of over 15International Journals indexed by Thomson ISI. Dr. Abraham received Ph.D.degree in Computer Science from Monash University, Melbourne, Australia (2001), Master of Science Degree from Nanyang Technological University, Singapore(1998) and B.Tech (Hons) degree in Electrical and Electronic Engineering fromUniversity of Calicut in 1990.
Dr. Reuel Ajith finished MD degree in June 2021 from the Faculty of Medicine in Vilnius University, Lithuania. His research interests are in Cardiology and neuro-degenerative diseases. He was in a team of researchers that developed the usage of artificial intelligence and free-speech to detect early signs of Parkinson's disease. The early detection mechanism used signal and speech processing techniques integrated with machine learning algorithms. Currently is practicing Cardiology in the Ameos Klinikum St Clemens, Oberhausen, Germany.
作者簡介(中文翻譯)
Dr. Loveleen Gaur 目前擔任馬來西亞泰勒大學及斐濟南太平洋大學的兼任教授，並擔任澳洲研究生學校的學術顧問。在移居美國之前，她曾在印度的阿米提大學擔任教授。她指導了多位博士生及研究生，主要專注於人工智慧（Artificial Intelligence）和商業及醫療保健的數據分析（Data Analytics）。在她的指導下，人工智慧/數據分析研究群 在高影響因子期刊上發表了大量研究，並與多位知名專業人士在全球建立了廣泛的研究合作。
她是資深的IEEE會員，並擔任CRC和Wiley的系列編輯。她在SCI/ABDC/WoS/Scopus上有高引用的出版物，並擁有多項專利/著作權，編輯/撰寫了多本由世界級出版社出版的研究書籍。她在國際上擁有豐富的指導和共同指導研究生及博士生的經驗，許多博士及碩士生在她的指導下畢業。她是多所全球大學的外部博士/碩士論文考官/評估者。她還曾擔任多個國際會議的主題演講者，在全球範圍內舉辦了多場網路研討會，並主持國際會議的會議。Gaur教授通過參加許多科學會議、研討會和座談會，擔任技術會議的主席並發表專題演講，顯著促進了科學理解。
她專注於人工智慧、機器學習、模式識別、物聯網、數據分析和商業智慧等領域。她在多個知名國際會議中擔任各種職位，並是IEEE、SCI和ABDC期刊的評審。她曾獲得多項國內外的榮譽獎項。
她引入了與人工智慧專業相關的課程，包括預測分析（Predictive Analytics）、深度學習（Deep Learning）和強化學習（Reinforcement Learning）等。她在教授高級專業課程方面擁有豐富的經驗，包括預測分析、數據視覺化、社交網絡分析、深度學習、Power BI、數位行銷和數位創新等，此外還教授其他本科和研究生課程、畢業專案和論文指導。
Dr. Abraham 是印度班尼特大學的代理副校長。在此之前，他曾擔任FLAME大學計算與數學科學學院的院長，以及機器智能研究實驗室（MIR Labs）的主任，該實驗室是一個非營利的科學網絡，旨在促進創新和研究卓越，連接產業與學術。作為研究者/共同研究者，他獲得了超過1億美元的研究資助。在過去五年中，他擔任了兩個大學的教授職位：俄羅斯伊諾波利斯大學的人工智慧教授，以及馬來西亞UCSI的Yayasan Tun Ismail Mohamed Ali人工智慧教授席位。Dr. Abraham在多學科環境中工作，並已發表/共同發表超過1,500篇研究出版物，其中包括100多本涵蓋計算機科學各個方面的書籍。他的一本書被翻譯成日文，其他幾篇文章則被翻譯成俄文和中文。Dr. Abraham的學術引用超過57,000次（根據Google Scholar的h-index為114+）。他在20多個國家發表了超過200場的專題演講和會議教程。Dr. Abraham在2008年至2021年間擔任IEEE系統人與控制論學會軟計算技術委員會的主席（該委員會擁有超過200名成員），並於2011年至2013年擔任IEEE計算機學會的傑出講者，代表歐洲。Dr. Abraham在2016年至2021年間擔任《人工智慧工程應用》（Engineering Applications of Artificial Intelligence）的主編，並在超過15本由Thomson ISI索引的國際期刊的編輯委員會中任職。Dr. Abraham於2001年在澳大利亞墨爾本的莫納什大學獲得計算機科學博士學位，於1998年在新加坡南洋理工大學獲得碩士學位，並於1990年在卡利卡特大學獲得電氣與電子工程的榮譽學士學位。
Dr. Reuel Ajith 於2021年6月在立陶宛維爾紐斯大學醫學院獲得醫學博士學位。他的研究興趣包括心臟病學和神經退行性疾病。他曾參與一個研究團隊，開發使用人工智慧和語音識別技術來檢測帕金森病的早期跡象。該早期檢測機制使用了信號和語音處理技術，並結合了機器學習算法。目前，他在德國奧伯豪森的Ameos Klinikum St Clemens從事心臟病學的臨床工作。
