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商品描述
This book explains how artificial intelligence (AI) works and helps readers adopt, use, and evaluate AI applications in public health. It serves as an introduction to AI literacy for beginners without a prerequisite for a math or information technology background. The conceptual frameworks for AI in public health also serve well for future agentic AI design.
With the help of this textbook, instructors will be able to teach students the fundamental concepts and skills to identify unmet needs in public health and implement AI as part of their solutions. This book addresses evaluation issues for AI in public health that other books have not. The meta-AI homework with grading metrics provides metacognitive approaches for AI-human interactions.
The book features 11 chapters organized in six parts:
- Part I introduces AI and explains why we need it in public health (AI literacy courses).
- Part II explains design/evaluation models of AI applications in public health.
- Part III discusses big data in public health, which is the foundation of AI applications (data awareness courses).
- Part IV focuses on case studies of usage of AI applications in public health (e.g., EquiRisk (Equity aware risk stratifications), PMCO-AI (Personalized Motivation, Capability and Opportunity empowered by AI), and PAPO (Policy Aware Personalized Opportunities))
- Part V concerns living with AI, including education of the public health workforce.
- Part VI discusses the future of AI in public health, including challenges and opportunities.
Artificial Intelligence in Public Health is timely and essential reading for public health students and staff interested in improving their AI literacy and embracing this disruptive technology that could transform the field. It can be used as a core text for students in public health informatics BS/MS/PhD or certificate programs. It can also be used as a secondary text for students in BS/MS programs in schools of public health or students in health informatics/biomedical informatics programs with a public health concentration. Practitioners in public health agencies at different levels (federal, state, county, city, town, community) and researchers in public health informatics may also find the book useful for their work.
商品描述(中文翻譯)
這本書解釋了人工智慧（AI）的運作方式，並幫助讀者採用、使用和評估公共衛生中的AI應用。它作為初學者的AI素養入門書，無需具備數學或資訊科技背景。公共衛生中AI的概念框架也為未來的自主AI設計提供了良好的基礎。
藉助這本教科書，教師將能夠教導學生識別公共衛生中未滿足的需求的基本概念和技能，並將AI作為解決方案的一部分進行實施。本書針對公共衛生中AI的評估問題進行了探討，而這些問題在其他書籍中並未涉及。包含評分指標的元AI作業提供了AI與人類互動的元認知方法。
本書包含11章，分為六個部分：
- 第一部分介紹AI並解釋為何我們在公共衛生中需要它（AI素養課程）。
- 第二部分解釋公共衛生中AI應用的設計/評估模型。
- 第三部分討論公共衛生中的大數據，這是AI應用的基礎（數據意識課程）。
- 第四部分專注於公共衛生中AI應用的案例研究（例如，EquiRisk（公平意識風險分層）、PMCO-AI（由AI賦能的個性化動機、能力和機會）以及PAPO（政策意識個性化機會））。
- 第五部分關注與AI共存，包括公共衛生工作力的教育。
- 第六部分討論公共衛生中AI的未來，包括挑戰和機會。
《公共衛生中的人工智慧》是公共衛生學生和工作人員提高AI素養、擁抱這一可能改變領域的顛覆性技術的及時且必要的讀物。它可以作為公共衛生資訊學學士/碩士/博士或證書課程的核心教材。它也可以作為公共衛生學院學士/碩士課程的輔助教材，或用於公共衛生集中於健康資訊學/生物醫學資訊學課程的學生。不同層級（聯邦、州、縣、市、鎮、社區）的公共衛生機構從業人員以及公共衛生資訊學的研究人員也可能會發現這本書對他們的工作有幫助。
作者簡介
Min Wu has held a Ph.D. in medical informatics from the University of North Carolina at Chapel Hill since 2003. Now an associate professor in the Zilber College of Public Health at the University of Wisconsin, Milwaukee, his research focuses on identifying unmet public health needs and implementing technological solutions. His writing has appeared in the Journal of Medical Informatics, the Journal of Medical Systems, and Academic Radiology. Dr. Wu is a past recipient of the Best Article Award for his work in the Journal of Digital Imaging. Dr. Wu has taught health informatics graduate courses for over 20 years and gained a deep and broad understanding of biomedical informatics. Recently, Dr. Wu published review articles on "Big data application on biomedical research and health care" and "Wearable technology application in health care" and closely tracks AI's impact on public health issues to prevent disease, promote health and prolong life.
作者簡介(中文翻譯)
吳敏自2003年起獲得北卡羅來納大學教堂山分校的醫療資訊學博士學位。現在，他是威斯康辛大學密爾瓦基分校Zilber公共衛生學院的副教授，研究重點在於識別未滿足的公共衛生需求並實施技術解決方案。他的著作曾發表於醫療資訊學期刊、醫療系統期刊和學術放射學。吳博士曾獲得數位影像期刊最佳文章獎。他教授健康資訊學研究生課程已超過20年，對生物醫學資訊學有深厚且廣泛的理解。最近，吳博士發表了有關「大數據在生物醫學研究和健康照護中的應用」及「可穿戴技術在健康照護中的應用」的綜述文章，並密切關注人工智慧對公共衛生問題的影響，以預防疾病、促進健康和延長生命。
