Integrating Biomedical Image Processing and Informatics for Healthcare
暫譯: 整合生醫影像處理與醫療資訊學ured

Jain, Nikita, Kumar, V. Dhilip, Geman, Oana

Integrating Biomedical Image Processing and Informatics for Healthcare

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商品描述

In the era of digital healthcare, the convergence of biomedical imaging, informatics, and artificial intelligence (AI) is transforming the way diseases are detected, diagnosed, monitored, and treated. This informative volume explores the latest advances driving this evolution, demonstrating how intelligent technologies are enabling more accurate diagnostics, personalized therapies, and data-driven clinical decision-making.

The volume examines the expanding role of AI in healthcare, including machine learning, deep learning, federated learning, and intelligent decision support systems. It highlights innovations in continuous patient monitoring, smart imaging, pattern recognition, and algorithm-assisted diagnostics, illustrating how computational methods complement clinical expertise. The book also explores advances in biomedical data acquisition and processing, with applications ranging from cardiotocography and chest X-ray analysis to transfer learning, image enhancement, and generative adversarial networks for synthetic medical data.

Emerging technologies receive equal attention, particularly the growing role of digital twins in personalized medicine. By integrating real-time data from medical imaging, wearable sensors, and IoT-enabled devices, digital twins offer new opportunities for predictive modeling, individualized treatment planning, and proactive patient care.

商品描述(中文翻譯)

在數位醫療時代，生物醫學影像、資訊學與人工智慧（AI）的融合，正在改變疾病的檢測、診斷、監測與治療方式。本書探討推動這項演進的最新發展，說明智慧科技如何實現更精確的診斷、個人化治療，以及以資料為導向的臨床決策。

本書深入探討 AI 在醫療領域日益擴大的作用，包括機器學習、深度學習、聯邦學習，以及智慧決策支援系統。書中介紹持續性病患監測、智慧影像、模式辨識與演算法輔助診斷等創新，說明計算方法如何補足臨床專業。除此之外，本書也探討生物醫學資料擷取與處理的最新進展，應用範圍涵蓋胎兒監視器（cardiotocography）、胸腔 X 光影像分析、遷移學習、影像增強，以及利用生成對抗網路（generative adversarial networks）產生合成醫療資料。

新興技術同樣受到重視，尤其是數位孿生（digital twins）在個人化醫療中日益重要的角色。透過整合來自醫學影像、穿戴式感測器，以及支援 IoT 的裝置之即時資料，數位孿生為預測建模、個人化治療規劃與主動式病患照護帶來全新的機會。

作者簡介

Nikita Jain, PhD, is Associate Professor of Computer Engineering at Poornima College of Engineering, Jaipur, India. Her research spans machine learning, deep learning, advanced computing, and AI applications in healthcare. She has more than 18 years of teaching and research experience and serves as an editor and reviewer for leading international journals.

V. Dhilip Kumar, PhD, is Professor and Associate Dean at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India. His research focuses on machine learning, IoT, intelligent systems, and healthcare applications. He has published extensively, leads funded research projects, and supervises doctoral research in AI and computer vision.

Oana Geman, PhD, is Associate Professor at the University of Suceava, Romania. A medical bioengineer, she specializes in biomedical signal processing, artificial intelligence, wireless sensors, and intelligent healthcare systems. She has authored more than 150 publications, serves on numerous editorial boards, and is a senior member of IEEE.

Aryan Chaudhary is Chief Scientific Advisor at BioTech Sphere Research, India. His work centers on artificial intelligence, digital health, IoT, blockchain, and emerging healthcare technologies. An active contributor to international scientific organizations, he has received recognition for innovation and leadership in health technology.

作者簡介(中文翻譯)

Nikita Jain, PhD，是印度 Jaipur Poornima College of Engineering 的電腦工程副教授。她的研究涵蓋 machine learning、deep learning、advanced computing，以及 AI 在醫療保健領域的應用。她擁有超過 18 年的教學與研究經驗，並擔任多本國際知名期刊的編輯與審稿人。

V. Dhilip Kumar, PhD，是印度 Chennai Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology 的教授兼副院長。他的研究專注於 machine learning、IoT、intelligent systems 及醫療保健應用。他發表了大量研究成果，主持獲資助的研究計畫，並指導 AI 與 computer vision 領域的博士研究。

Oana Geman, PhD，是羅馬尼亞 Suceava University 的副教授。她是一名醫療生物工程師，專長包括 biomedical signal processing、artificial intelligence、wireless sensors，以及 intelligent healthcare systems。她已發表超過 150 篇出版品，擔任多個期刊編輯委員會成員，並是 IEEE 資深會員。

Aryan Chaudhary 是印度 BioTech Sphere Research 的首席科學顧問。他的工作以 artificial intelligence、digital health、IoT、blockchain 及新興醫療保健技術為核心。身為國際科學組織的積極貢獻者，他曾因在健康科技領域的創新與領導力而獲得肯定。

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