Scalable Artificial Intelligence for Healthcare: Advancing AI Solutions for Global Health Challenges
暫譯: 可擴展的人工智慧在醫療保健中的應用：推進全球健康挑戰的AI解決方案
Sakly, Houneida, Guetari, Ramzi, Kraiem, Naoufel
商品描述
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care.
Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements.
This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
商品描述(中文翻譯)
本編輯書籍探討了人工智慧（AI）技術對全球醫療系統的變革性影響，重點在於提升效率和可及性。內容全面探索了在醫療領域擴展AI應用所需的原則和實踐，涵蓋診斷、治療和病人護理等領域。
主要主題包括數據可擴展性、模型部署和基礎設施設計，強調在構建可擴展AI系統中使用微服務、容器化、雲計算和大數據技術。討論涵蓋了機器學習模型的進展、分散式處理和遷移學習，以及持續整合、數據隱私和倫理等重要考量。真實案例研究描繪了在各種醫療環境中實施可擴展AI的成功與挑戰，為未來的進展提供了寶貴的見解。
本書作為醫療專業人員、AI研究者和技術愛好者的實用和理論指南，旨在幫助他們開發或擴展以AI驅動的醫療解決方案，以有效應對全球健康挑戰。
作者簡介
Houneida Sakly is an Assistant Professor at CRMN in Tunisia's Sousse Techno Park. Holding a Ph.D. from ENSI in partnership with French universities (Gustave Eiffel University -ESIEE-Paris and Polytech-Orléans), she specializes in data science applied to healthcare. She collaborates with Stanford and is certified by MIT-Harvard in healthcare innovation.
Ramzi Guetari is an Associate Professor of Computer Science at the Polytechnic School of Tunisia. He achieved his Ph.D. at the University of Savoie, France, worked at the INRIA, contributed to W3C standards, and now studies AI and machine learning, collaborating with international organizations and companies.
Naoufel Kraiem is a Full Professor of Computer Science with 32 years in academia. He earned his Ph.D. at the University of Paris 6 and Habilitation from Sorbonne University. His research spans IT, data science, and software engineering, supported by the CNRS, INRIA, and EU programs, with over 147 publications.
作者簡介(中文翻譯)
Houneida Sakly 是突尼西亞蘇斯科技園區 CRMN 的助理教授。她擁有與法國大學（古斯塔夫·艾菲爾大學 - ESIEE-巴黎和奧爾良理工學院）合作的 ENSI 博士學位，專注於應用於醫療保健的數據科學。她與斯坦福大學合作，並獲得麻省理工學院-哈佛大學的醫療創新認證。
Ramzi Guetari 是突尼西亞理工學院的計算機科學副教授。他在法國薩瓦大學獲得博士學位，曾在 INRIA 工作，參與 W3C 標準的制定，現在研究人工智慧和機器學習，並與國際組織和公司合作。
Naoufel Kraiem 是計算機科學的正教授，擁有 32 年的學術經驗。他在巴黎第六大學獲得博士學位，並在索邦大學獲得資格認證。他的研究涵蓋資訊技術、數據科學和軟體工程，得到了 CNRS、INRIA 和歐盟計畫的支持，發表了超過 147 篇論文。
