Fostering Healthcare through Artificial Intelligence: A High-Performance Computing Approach
暫譯: 透過人工智慧促進醫療保健：高效能計算方法

在這本書中，讀者可以探索人工智慧（AI）在重塑現代醫療保健方面的變革力量。這本書深入探討了尖端技術如何徹底改變診斷、病人護理和醫學研究。從預測分析預測疾病爆發到增強臨床決策的智能系統，這本書揭示了AI技術在醫療領域中所扮演的變革性角色。這本書專為醫療專業人員和AI愛好者設計，呈現了現實世界的應用、倫理考量以及來自研究人員和業界的前瞻性見解。這本書為讀者提供了對AI潛力的全面理解，能夠推動有意義的變革。

這本書：
- 涵蓋基於機器學習的生物醫學應用的高效能計算場可編程閘陣列網絡。
- 提出癌症易感性、復發和生存預測的機器學習算法。
- 討論高效能計算（HPC）在醫療設備中執行低功耗處理器的應用。
- 展示可穿戴醫療設備的詳細性能分析。
- 突出使用Pix2pix生成對抗網絡進行乳腺X光檢查隱匿性乳腺癌檢測。

無論您是在應對數位健康轉型的複雜性，還是對AI在醫學中的角色感到好奇，透過人工智慧促進醫療保健都是您理解技術如何促進更健康、更智慧未來的必備指南。

Kavita Khare received her B. Tech in Electronics and Communication Engineering in 1989, M. Tech. in Digital Communication Systems in 1993 and PhD degree in the field of VLSI Design in 2004. She has nearly 27 years of teaching experience and 200 publications in various international conferences and journals. She has supervised nearly 20 PhD thesis and nearly 42 M. Tech thesis. She also received the Best Paper Award at an international conference in France and is a reviewer of several journals and conference proceedings. Dr Khare co-coordinates short-term courses on VLSI Design organized at MANIT Bhopal. Currently, she is working as a Professor at the Department of Electronics and Communication Engineering in MANIT, Bhopal, INDIA. Her areas of interest are VLSI design and Communication Systems, and her research mainly includes design of arithmetic circuits and various communication algorithms related to synchronization, estimation and routing. She is also a Fellow IETE (India) and member of IEEE, Life Member ISTE.

Zainab Aizaz is a VLSI front-end designer and Research Fellow in the School of Engineering and Informatics at the University of Sussex. She completed her PhD from Maulana Azad National Institute of Technology, Bhopal, India. She has worked as an assistant professor for six years in Electronics and Communication Engineering department in Oriental Institute of Science and Technology, Bhopal, Madhya Pradesh, India, and as a research fellow for three years in Barkatullah University, Bhopal, Madhya Pradesh, India. She has 17 international journal and conference publications along with 3 book chapters. She also won the state's annual young scientist award in India in the year 2020 in India. Zainab designs hardware for Artificial Intelligence systems on Field Programmable Gate Arrays (FPGA). Her recent focus is to design energy efficient Vector Processor as an extension to the RISCV processor. Her research interests include FPGAs, Hardware description language, Computer architecture, Artificial Intelligence.

Nilay Khare received his B. Tech degree in 1988, M. Tech. degree in Computer Science Engineering from IIT Delhi in 1995 and PhD degree in the field of VLSI Design in 2009. He has nearly 34 years of teaching experience. His major research work is on Hardware Implementation of Neural Network, FPGA implementation of CORDIC processor, Machine Learning, Data Privacy. His PhD thesis is on efficient design of CORDIC processor on FPGA. He has supervised three PhDs in the area of VLSI design namely FPGA implementation of neural networks, hardware implementation of string-matching algorithms and design and implementation of hardware firewall. He has expertise in AI, Machine learning and deep learning fields, and has supervised many UG ang PG projects in these areas. He has published nearly 1000 papers in top journals and conferences. He also has 3 patents to his name. The primary areas of his expertise are AI, ML, VLSI, Theoretical Computer Science, and IoT.

Kavita Khare於1989年獲得電子與通信工程的學士學位（B. Tech），1993年獲得數位通信系統的碩士學位（M. Tech），並於2004年獲得VLSI設計領域的博士學位（PhD）。她擁有近27年的教學經驗，並在各種國際會議和期刊上發表了200篇論文。她指導了近20篇博士論文和近42篇碩士論文。她還在法國的一個國際會議上獲得最佳論文獎，並擔任多個期刊和會議論文集的審稿人。Khare博士共同協調在MANIT Bhopal舉辦的VLSI設計短期課程。目前，她在印度Bhopal的MANIT電子與通信工程系擔任教授。她的研究興趣包括VLSI設計和通信系統，主要研究內容包括算術電路的設計以及與同步、估計和路由相關的各種通信演算法。她也是印度電子與電氣工程師協會（IETE）的院士，並且是IEEE的成員，ISTE的終身會員。

Zainab Aizaz是一名VLSI前端設計師及薩塞克斯大學工程與資訊學院的研究員。她在印度Bhopal的Maulana Azad國立技術學院獲得博士學位。她曾在印度中央邦Bhopal的東方科學與技術學院電子與通信工程系擔任助理教授六年，並在Barkatullah大學擔任研究員三年。她在國際期刊和會議上發表了17篇論文，並撰寫了3篇書章。她還在2020年獲得印度的年度青年科學家獎。Zainab為基於現場可編程閘陣列（FPGA）的人工智慧系統設計硬體。她最近的重點是設計能效高的向量處理器，作為RISCV處理器的擴展。她的研究興趣包括FPGA、硬體描述語言、計算機架構和人工智慧。

Nilay Khare於1988年獲得學士學位（B. Tech），1995年在德里印度理工學院（IIT Delhi）獲得計算機科學工程的碩士學位（M. Tech），並於2009年獲得VLSI設計領域的博士學位（PhD）。他擁有近34年的教學經驗。他的主要研究工作集中在神經網絡的硬體實現、CORDIC處理器的FPGA實現、機器學習和數據隱私上。他的博士論文是關於在FPGA上高效設計CORDIC處理器。他指導了三篇VLSI設計領域的博士論文，分別是神經網絡的FPGA實現、字串匹配演算法的硬體實現以及硬體防火牆的設計與實現。他在人工智慧、機器學習和深度學習領域具有專業知識，並指導了許多本科和研究生項目。他在頂級期刊和會議上發表了近1000篇論文，並擁有3項專利。他的主要專業領域包括人工智慧、機器學習、VLSI、理論計算機科學和物聯網。