Medical Minds and Machine Learning: Transforming Care with AI
暫譯: 醫療思維與機器學習：以AI轉型護理

本卷回顧了人工智慧（AI）與醫學的融合。隨著醫療系統面臨日益增長的需求、臨床醫師短缺以及病患數據的複雜性，機器學習（machine learning）和深度學習（deep learning）正作為變革力量介入，以改善診斷、個性化治療並提升病患結果。本書是一本全面的指南，涵蓋了人工智慧在醫療領域的技術、應用及其影響。它探討了機器學習的基本原則，深入實際應用，如放射診斷、機器人手術和預測分析，並討論了關鍵主題，如電子健康紀錄（EHRs）的自然語言處理和人工智慧輔助的藥物發現。

**主要特色：**
- 探索生成式人工智慧如何在放射學、腫瘤學和病理學等領域革新診斷，提高病患護理的準確性和效率。
- 討論倫理、法律和監管考量。
- 橋接技術與臨床實踐之間的鴻溝。
- 突顯未來趨勢和創新。
- 促進多學科合作。

Dr. Sandeep Kumar Mathivanan has a M.S. in software engineering and the M.Tech. (By Research) degree from Vellore Institute of Technology, Vellore, India, in 2016 and 2020, respectively, and a Ph.D. from the School of Information Technology and Engineering, VIT, in 2023. He is currently an Assistant Professor with the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. He has more than six years of research experience, and has authored several journals and conferences papers. He is a reviewer of many reputed Q1 and Q2 journals. His current research interests include machine learning, deep learning, remote sensing, and big data.

Dr. Saurav Mallik (google scholar h-index: 35, citations > 4250) is a Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in Harvard T.H. Chan School of Public Health, Boston, MA, USA for more than three years (2019-2022), the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA for one and half year (2018-2019), and in the Division of Bio-statistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA for more than one year (2017-2018). He obtained a Ph.D. from the Department of Computer Science and Engineering from Jadavpur University, Kolkata, India in 2017. His Ph.D. work was carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India as junior research fellow. He has obtained the award of Research Associateship from Council of Scientific and Industrial Research, MHRD, Government of India in 2017. Dr. Mallik has more than 260 research papers in different top high impact factor peer-reviewed journals, conferences and book chapters. He has published various Books and Patents. He is working as the active member of Institute of Electrical and Electronics Engineers (IEEE), USA, ACM and American Association for Cancer Research (AACR), USA and Bioclues, India. He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interest includes computational biology, knowledge retrieval and data mining, bioinformatics, biostatistics, and ML/DL.

Dr. Basu Dev Shivahare is an Associate Professor in School of Computer Science & Engineering at Galgotias University, Greater Noida, India. He has a Ph.D. (Computer Science & Engineering) from Dr. APJ Abdul Kalam Technical University AKTU, Lucknow, Uttar Pradesh, India in 2023, M.Tech. (CS) from BIT MESRA, Ranchi, India in 2012 and B.Tech. (CSE) from Uttar Pradesh Technical University (UPTU), Lucknow, in 2006. He was an Assistant Professor in Department of Computer Science and Engineering, at Amity University, Uttar Pradesh, India for over 10 years. He has published more than 50 research papers in peer review SCIE/Scopus index international journals and conferences. His research area is Image Processing, Medical image analysis, metaheuristic optimization algorithms and machine learning. He is UGC-NET qualified. He has more than 19 years of teaching experience.

Dr. Sangeetha S. K. B. is an Associate Professor at the School of Computer Engineering, Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, India. With over 17 years of academic experience, Dr. Sangeetha has contributed significantly to fields such as data science, medical imaging, Artificial Intelligence (AI), and quantum computing for healthcare. She earned her Ph.D. in Computer Science and Engineering from Anna University, Chennai, and is currently pursuing a postdoctoral program at Lincoln University College, Malaysia.

Her research interests focus on AI, machine learning, and quantum computing, particularly in multimodal data fusion for healthcare applications. Dr. Sangeetha has authored/co-authored over 50 research articles, many of which have been published in SCI-indexed journals. Her contributions have earned her multiple accolades, including Best Paper Awards at international conferences such as IEEE and Springer, and recognition from prominent journals like PLoS ONE and Springer. Dr. Sangeetha has mentored 3 Ph.D. students, and over 100 B.Tech. students, fostering academic and professional growth. She has guided numerous students through research and industry projects, particularly in AI and data science. In addition to her teaching and research roles, Dr. Sangeetha has been a guest speaker at over 25 international conferences and workshops. She has also authored 4 books and served as a reviewer for several peer-reviewed journals. Her professional engagement extends to industry consulting, with over
5 consulting projects focused on AI and machine learning solutions.

Dr. Shakila Basheer is currently working as an Associate Professor in Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University in Riyadh, Saudi Arabia. She has more than 10 years of teaching experience and has published more technical papers in international journals/proceedings of international conferences/edited chapters of reputed publications. She has worked and contributed in the field of Data Mining, Image Processing and Fuzzy Logic. Her research also focuses on Data Mining algorithms using Fuzzy Logic. She is currently working on Data mining, Vehicular networks Machine Learning, Blockchain, Vehicular networks and IoT.

Dr. Sandeep Kumar Mathivanan 擁有軟體工程碩士學位及來自印度維洛爾科技學院（Vellore Institute of Technology, VIT）的研究碩士學位，分別於2016年和2020年取得，並於2023年獲得資訊科技與工程學院的博士學位。他目前是印度大諾伊達的Galgotias大學計算科學與工程學院的助理教授。他擁有超過六年的研究經驗，並發表了多篇期刊和會議論文。他是多本知名Q1和Q2期刊的審稿人。他目前的研究興趣包括機器學習、深度學習、遙感技術和大數據。

Dr. Saurav Mallik（Google Scholar h-index: 35，引用次數超過4250）是美國亞利桑那大學藥理學與毒理學系的研究科學家。之前，他在哈佛大學T.H. Chan公共衛生學院擔任博士後研究員超過三年（2019-2022），在德克薩斯州休士頓的德克薩斯大學健康科學中心生物醫學資訊學院的精準健康中心工作了一年半（2018-2019），以及在美國邁阿密大學米勒醫學院公共衛生科學系的生物統計學部工作超過一年（2017-2018）。他於2017年在印度加爾各答的賈達夫普爾大學（Jadavpur University）獲得計算機科學與工程博士學位。他的博士研究是在印度統計學院的機器智能單位作為初級研究員進行的。他於2017年獲得印度政府科學與工業研究委員會（Council of Scientific and Industrial Research, CSIR）頒發的研究助理獎。Dr. Mallik在不同的高影響因子同行評審期刊、會議和書籍章節中發表了超過260篇研究論文。他還出版了多本書籍和專利。他是美國電氣與電子工程師學會（IEEE）、ACM、美國癌症研究協會（AACR）和印度Bioclues的活躍成員。他曾與多本知名高影響力期刊的編輯和審稿人合作。他的研究興趣包括計算生物學、知識檢索和數據挖掘、生物資訊學、生物統計學以及機器學習/深度學習。

Dr. Basu Dev Shivahare 是印度大諾伊達Galgotias大學計算機科學與工程學院的副教授。他於2023年在印度烏塔爾邦的APJ阿布杜勒·卡拉姆技術大學（Dr. APJ Abdul Kalam Technical University, AKTU）獲得計算機科學與工程博士學位，於2012年在印度朗齊的BIT MESRA獲得計算機碩士學位，並於2006年在烏塔爾邦技術大學（UPTU）獲得計算機科學與工程學士學位。他在印度阿米提大學計算機科學與工程系擔任助理教授超過10年。他在同行評審的SCIE/Scopus指數國際期刊和會議上發表了超過50篇研究論文。他的研究領域包括影像處理、醫學影像分析、元啟發式優化算法和機器學習。他通過了UGC-NET考試，擁有超過19年的教學經驗。

Dr. Sangeetha S. K. B. 是印度班加羅爾Manipal科技學院計算機工程學院的副教授。擁有超過17年的學術經驗，Dr. Sangeetha在數據科學、醫學影像、人工智慧（AI）和量子計算在醫療保健方面的領域做出了重要貢獻。她在印度金奈的安娜大學獲得計算機科學與工程博士學位，目前正在馬來西亞林肯大學學院進行博士後研究。

她的研究興趣集中在AI、機器學習和量子計算，特別是在醫療應用的多模態數據融合方面。Dr. Sangeetha已發表/共同發表超過50篇研究文章，其中許多已在SCI索引期刊上發表。她的貢獻為她贏得了多項榮譽，包括在IEEE和Springer等國際會議上獲得最佳論文獎，以及來自PLoS ONE和Springer等知名期刊的認可。Dr. Sangeetha指導了3名博士生和超過100名B.Tech.學生，促進了學術和專業成長。她在AI和數據科學方面指導了許多學生完成研究和行業項目。除了教學和研究角色外，Dr. Sangeetha還在超過25個國際會議和研討會上擔任特邀講者。她還出版了4本書籍，並擔任多本同行評審期刊的審稿人。她的專業參與擴展到行業諮詢，專注於AI和機器學習解決方案的超過5個諮詢項目。

Dr. Shakila Basheer 目前在沙烏地阿拉伯利雅德的Princess Nourah bint Abdulrahman University計算機與資訊科學學院資訊系擔任副教授。她擁有超過10年的教學經驗，並在國際期刊、國際會議的論文集和知名出版物的編輯章節中發表了多篇技術論文。她在數據挖掘、影像處理和模糊邏輯領域工作並做出貢獻。她的研究還專注於使用模糊邏輯的數據挖掘算法。她目前正在研究數據挖掘、車輛網絡、機器學習、區塊鏈、車輛網絡和物聯網。