Artificial Intelligence in Medical Software
暫譯: 醫療軟體中的人工智慧
Pandey, Ajit, Gupta, Pramod, Sehgal, Naresh Kumar
- 出版商: Springer
- 出版日期: 2026-05-02
- 售價: $5,410
- 貴賓價: 9.5 折 $5,139
- 語言: 英文
- 頁數: 442
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032108071
- ISBN-13: 9783032108074
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相關分類:
Machine Learning
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相關主題
商品描述
Unlock the future of healthcare innovation with this comprehensive guide to AI and machine learning in medical software. Designed for engineers, data scientists, and healthcare leaders, this book provides a practical roadmap for developing safe, effective, and compliant AI/ML-driven medical devices. From foundational principles to advanced deployment, including Software in Medical Devices (SiMD) and Software as a Medical Device (SaMD), this book covers everything you need to know. Explore a unique end-to-end development methodology tailored for AI-enabled solutions, cloud architectures, and regulated healthcare environments. Discover how to streamline product releases, navigate privacy and security mandates, and master global medical device regulations--all this while accelerating time to market with real-world strategies and tools. Hands-on projects and exclusive case studies, such as Apple's Sleep Apnea Notification and Notal Vision's Home OCT system, provide actionable insights from the cutting edge of AI-powered diagnosis and care. Whether you're just starting or scaling enterprise-grade AI, this book teaches you how to leverage tomorrow's innovations, including Generative AI, federated learning, edge deployment, and cloud-native best practices. Keep usability, trust, and safety at the heart of your solutions. This book bridges the technical and clinical worlds, making it your indispensable companion for building the future of intelligent healthcare.
Describes each stage of AI/ML-enabled medical device development, covering both regulatory and technical requirements;
Illustrates how AI/ML-enabled device development differs from traditional software development in medical devices;
Includes strategies for addressing common challenges during development and regulatory review.
商品描述(中文翻譯)
解鎖醫療創新的未來，這本關於醫療軟體中人工智慧（AI）和機器學習（ML）的綜合指南專為工程師、數據科學家和醫療領導者設計，提供了一個實用的路線圖，用於開發安全、有效且符合規範的AI/ML驅動醫療設備。從基礎原則到高級部署，包括醫療設備中的軟體（SiMD）和作為醫療設備的軟體（SaMD），這本書涵蓋了您需要了解的一切。探索針對AI驅動解決方案、雲架構和受監管醫療環境量身定制的獨特端到端開發方法論。了解如何簡化產品發布、應對隱私和安全要求，並掌握全球醫療設備法規——同時利用現實世界的策略和工具加速上市時間。實作專案和獨家案例研究，例如Apple的睡眠呼吸暫停通知和Notal Vision的家庭OCT系統，提供來自AI驅動診斷和護理前沿的可行見解。無論您是剛開始還是擴展企業級AI，這本書教您如何利用明天的創新，包括生成式AI、聯邦學習、邊緣部署和雲原生最佳實踐。將可用性、信任和安全性置於解決方案的核心。這本書橋接了技術與臨床世界，成為您構建智能醫療未來的不可或缺的夥伴。
描述AI/ML驅動醫療設備開發的每個階段，涵蓋監管和技術要求；
說明AI/ML驅動設備開發如何與傳統醫療設備軟體開發不同；
包括解決開發和監管審查過程中常見挑戰的策略。
作者簡介
Pramod Gupta has over 25 years of experience as a researcher and academic in various organizations, including collaborations with NASA, GE, VISA, the University of California, and startups. He holds a Ph.D. in Electrical and Computer Engineering from McMaster University, with a specialization in Neuro-Control of Robotic Manipulators. His research areas include Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics, and Data Mining. He has more than 40 publications on these subjects and has co-authored three books published by Springer. Presently, he is an Adjunct Faculty at various universities in the US and works as an independent data science consultant.
Naresh K. Sehgal is currently a Cloud Computing Consultant. Before that he worked at Nova Signal for 3 years and at Intel for 31 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He taught a Cloud Computing class at Santa Clara University, where he also earned an MBA. Naresh has 9 patents, co-authored 8 books, published 40 technical papers in various conferences and journals.
作者簡介(中文翻譯)
Ajit K. Pandey 在醫療器材產業擁有超過二十年的經驗，並在多個治療領域擁有豐富的實務專業知識。他的專長包括醫療軟體中的人工智慧和機器學習，對醫療軟體開發、全球人工智慧法規、人工智慧品質系統及人工智慧軟體開發流程有深刻的理解。Ajit 擁有國立技術學院蘇拉特分校的工程學士學位，以及辛辛那提大學和南加州大學的碩士學位。
Pramod Gupta 擁有超過 25 年的研究和學術經驗，曾與多個組織合作，包括 NASA、GE、VISA、加州大學及新創公司。他在麥克馬斯特大學獲得電機與計算機工程的博士學位，專攻機器人操控的神經控制。他的研究領域包括神經網路、機器學習、人工智慧、數據建模與分析以及數據挖掘。他在這些主題上發表了超過 40 篇論文，並共同撰寫了三本由 Springer 出版的書籍。目前，他是美國多所大學的兼任教員，並擔任獨立的數據科學顧問。
Naresh K. Sehgal 目前是一名雲計算顧問。在此之前，他在 Nova Signal 工作了 3 年，並在英特爾工作了 31 年，擔任各種工程和管理職位。Naresh 擁有旁遮普工程學院的工程學士學位，以及雪城大學的碩士和博士學位。他曾在聖克拉拉大學教授雲計算課程，並在該校獲得 MBA 學位。Naresh 擁有 9 項專利，並共同撰寫了 8 本書籍，發表了 40 篇技術論文於各種會議和期刊。
