Explainable Artificial Intelligence for Biomedical and Healthcare Applications
暫譯: 可解釋的人工智慧在生物醫學與健康照護應用中的應用

這本參考文本有助於理解可解釋人工智慧（XAI）在醫療和健康照護領域中的應用。文本討論了使用 XAI 的醫療機器人系統以及具有自主行為的物理設備在醫療操作中的應用。

Aditya Khamparia has more than ten years of experience in teaching, entrepreneurship, and research & development. He is currently an Assistant Professor and Coordinator of the Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He earned his PhD from Lovely Professional University, Punjab, in May 2018. He completed his MTech from VIT University and BTech from RGPV, Bhopal. He completed his PDF from UNIFOR, Brazil. He has more than 100 research papers along with book chapters including more than 20 papers in SCI-indexed journals with a cumulative impact factor of above 50 to his credit. Additionally, He has authored and edited 10 books. He has been featured in the list of top 2% scientist/researcher databases worldwide. In India, he has been ranked 1 as a researcher in the field of healthcare applications (as per Google Scholar citations). Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/ TPC member/Guest Editor and many more positions in various conferences and journals. His research interests include machine learning, deep learning, educational technologies, and computer vision.

Deepak Gupta earned a BTech degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He earned an ME degree in 2010 from Delhi Technological University, India, and PhD in 2017 from Dr APJ Abdul Kalam Technical University (AKTU), Lucknow, India. He completed his Post-Doc from the National Institute of Telecommunications (Inatel), Brazil, in 2018. He has co-authored more than 207 journal articles, including 168 SCI papers and 45 conference articles. He has authored/edited 60 books, published by IEEE-Wiley, Elsevier, Springer, Wiley, CRC Press, DeGruyter, and Katsons. He has filled four Indian patents. He is the convener of the ICICC, ICDAM, ICCCN, ICIIP, and DoSCI Springer conferences series. He is Associate Editor of Computer & Electrical Engineering, Expert Systems, Alexandria Engineering Journal, and Intelligent Decision Technologies. He is the recipient of the 2021 IEEE System Council Best Paper Award. He has been featured in the list of top 2% scientist/researcher databases worldwide. In India, he has been ranked 1 as a researcher in the field Copyright Material - Provided by Taylor & Francis of healthcare applications (as per Google Scholar citations) and ranked #78 in India among Top Scientists 2022 by Research .co m. He is also working toward promoting Startups and also serving as a Startup Consultant. He is also a series editor of "Elsevier Biomedical Engineering" at Academic Press, Elsevier, "Intelligent Biomedical Data Analysis" at De Gruyter, Germany, and "Explainable AI (XAI) for Engineering Applications" at CRC Press. He is appointed as Consulting Editor at Elsevier. He accomplished productive collaborative research with grants of approximately $144,000 from various international funding agencies, and he is Co-PI in an International Indo-Russian Joint project of Rs 1.31CR from the Department of Science and Technology.

阿迪提亞·坎帕里亞擁有超過十年的教學、創業和研究與開發經驗。他目前是印度阿梅提的巴巴薩赫布·比姆拉奧·安貝德卡大學計算機科學系的助理教授及協調員。他於2018年5月獲得旁遮普的Lovely Professional University博士學位。他在VIT大學獲得碩士學位（MTech），並在博帕爾的RGPV獲得學士學位（BTech）。他於2018年在巴西的UNIFOR完成博士後研究（PDF）。他發表了超過100篇研究論文及書籍章節，其中包括20篇以上的SCI期刊論文，累計影響因子超過50。此外，他還編著和編輯了10本書籍。他被列入全球前2%的科學家/研究者數據庫。在印度，他在醫療應用領域的研究者排名中名列第一（根據Google Scholar引用）。此外，他在各種會議和期刊中擔任過主題演講者、會議主席、審稿人、TPC成員、特邀編輯等多個職位。他的研究興趣包括機器學習、深度學習、教育技術和計算機視覺。

深克·古普塔於2006年獲得印度德里Guru Gobind Singh Indraprastha University的學士學位（BTech）。他於2010年獲得印度德里技術大學的碩士學位（ME），並於2017年獲得印度盧克諾的Dr APJ Abdul Kalam Technical University (AKTU)的博士學位。他於2018年在巴西的國家電信研究所（Inatel）完成博士後研究。他共同撰寫了超過207篇期刊文章，包括168篇SCI論文和45篇會議文章。他編著和編輯了60本書籍，出版商包括IEEE-Wiley、Elsevier、Springer、Wiley、CRC Press、DeGruyter和Katsons。他已申請四項印度專利。他是ICICC、ICDAM、ICCCN、ICIIP和DoSCI Springer會議系列的召集人。他是Computer & Electrical Engineering、Expert Systems、Alexandria Engineering Journal和Intelligent Decision Technologies的副編輯。他是2021年IEEE系統委員會最佳論文獎的獲得者。他被列入全球前2%的科學家/研究者數據庫。在印度，他在醫療應用領域的研究者排名中名列第一（根據Google Scholar引用），並在2022年被Research.com評為印度前78名科學家。他還致力於推廣創業，並擔任創業顧問。他還是Elsevier Academic Press的《Elsevier生物醫學工程》系列編輯、《De Gruyter, Germany》的《智能生物醫學數據分析》系列編輯，以及CRC Press的《工程應用的可解釋人工智慧（XAI）》系列編輯。他被任命為Elsevier的顧問編輯。他與各國際資助機構合作，獲得約144,000美元的研究資助，並在科學與技術部的國際印俄聯合項目中擔任共同首席研究員，該項目資金為1.31億印度盧比。