AI for Medical Image Analysis: Reconciling Innovation and Ethical Considerations
暫譯: 醫療影像分析中的人工智慧：創新與倫理考量的調和

Ben Aoun, Najib, Ahmad, Sadique, Hammad, Mohamed

AI for Medical Image Analysis: Reconciling Innovation and Ethical Considerations
  • 出版商: Springer
  • 出版日期: 2026-01-09
  • 售價: $7,340
  • 貴賓價: 9.5 折 $6,973
  • 語言: 英文
  • 頁數: 346
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032029627
  • ISBN-13: 9783032029621
  • 相關分類: 影像辨識 Image-recognition

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The way doctors identify, treat, and manage illnesses has been completely transformed by the introduction of artificial intelligence (AI) into healthcare. The application of image processing and computer vision technologies is one of the most impactful advancements, which has boosted the accuracy and effectiveness of medical image analysis, enhanced treatment planning and enabled more personalized care. With the use of these technologies, healthcare professionals may now "see beyond" the limits of conventional imaging techniques, gaining deeper understanding and more thorough analyses--both essential for efficient patient care. However, applying AI techniques for medical image analysis has to be conducted while upholding the ethical considerations to ensure the technology benefits patients and healthcare providers while minimizing potential risks. In fact, it is essential to establish a thorough framework that incorporates stringent validation on diverse and representative datasets to mitigate bias and guarantee accuracy across different populations. AI systems must exhibit transparency and explainability, enabling healthcare professionals to comprehend and trust their outputs, while accountability measures distinctly delineate responsibility for AI-generated judgments. In addition, AI systems have to support, not replace, the clinicians, guaranteeing that they continue to play a crucial role in decision-making. The development and deployment of AI-based medica image analysis systems have to be guided by ethical oversight committees to address any emerging issues.

This book, "AI for Medical Image Analysis: reconciling Innovation and ethical considerations," delves into the use of AI in medical image analysis while adhering to ethical considerations. It will cover the technological advancements, applications, strategies and ethical considerations around the use of AI in healthcare imaging. It presents a holistic perspective on how AI-driven computer vision and image processing are reshaping the healthcare landscape and expanding the realm of what is conceivable for medical diagnostics and treatment.

This book will:

  • Highlight the efficiency of AI for the medical image analysis and tumor segmentation, including machine learning and deep learning models.
  • Include case studies across many areas of AI in medical imaging data.
  • Investigate the ethical, regulatory and social considerations of AI in medical image analysis
Present the current challenges and futures research directions.

商品描述(中文翻譯)

醫生識別、治療和管理疾病的方式因人工智慧（AI）進入醫療保健而徹底改變。影像處理和計算機視覺技術的應用是最具影響力的進展之一，這提升了醫學影像分析的準確性和有效性，增強了治療計劃並實現了更個性化的護理。透過這些技術，醫療專業人員現在可以「超越」傳統影像技術的限制，獲得更深入的理解和更全面的分析，這對於有效的病人護理至關重要。然而，應用AI技術進行醫學影像分析時，必須遵循倫理考量，以確保技術能惠及病人和醫療提供者，同時最小化潛在風險。事實上，建立一個全面的框架是必要的，該框架應包含對多樣且具代表性的數據集進行嚴格驗證，以減少偏見並保證在不同人群中的準確性。AI系統必須展現透明性和可解釋性，使醫療專業人員能夠理解並信任其輸出，同時責任措施明確劃分AI生成判斷的責任。此外，AI系統必須支持而非取代臨床醫生，確保他們在決策中繼續扮演關鍵角色。基於AI的醫學影像分析系統的開發和部署必須在倫理監督委員會的指導下進行，以解決任何新出現的問題。

本書《AI在醫學影像分析中的應用：調和創新與倫理考量》深入探討了AI在醫學影像分析中的應用，同時遵循倫理考量。它將涵蓋技術進展、應用、策略以及在醫療影像中使用AI的倫理考量。該書提供了一個全面的視角，展示了AI驅動的計算機視覺和影像處理如何重塑醫療保健領域，並擴展醫學診斷和治療的可想像範圍。

本書將：
- 突顯AI在醫學影像分析和腫瘤分割中的效率，包括機器學習和深度學習模型。
- 包含多個醫學影像數據中AI應用的案例研究。
- 探討AI在醫學影像分析中的倫理、監管和社會考量。
- 提出當前挑戰和未來研究方向。

作者簡介

Najib BEN AOUN received the Master and the Ph.D degrees in Computer Systems engineering from the National School of Engineers Sfax (ENIS), Tunisia. He has around 20 years of teaching as well as Bachelor, Master and Ph.D students mentoring and co-mentoring experience. He is currently associate professor at the Faculty of Computing and Information (FCI) at Al-Baha University, Saudi Arabia. He is also a senior researcher within the REsearch Groups in Intelligent Machines (REGIM-Lab) in Tunisia. His main research interests include applications of machine learning (including deep learning) in computer vision, medical image analysis, agriculture, security/biometry and data science. He has published 30+ research papers in reputed international conferences and high-level journals. He serves in various editorial roles across SCI/SCIE/Scopus-indexed journals, and has edited books with Springer and Frontiers. In addition, he has participated in the organization of several international conferences and workshops and served as a reviewer for numerous international conferences and journals. Dr. Najib is currently a senior IEEE member and a member of ACM, IAPR, MIRLabs, IAES, IEEE and IEEE SPS as well as IEEE SPS IVMSP, MMSP and MLSP technical committee affiliate member.

Sadique Ahmad is the CEO of KnowledgeShare IU Private Limited. Also, he is a Senior Assistant Professor at the Department of Computer Sciences at Bahria University Karachi Campus Pakistan (on leave). Currently, he is working as a Postdoc Fellow at Prince Sultan University, Riyadh KSA. Dr Sadique Ahmad achieved his PhD degree (2019) from the Department of Computer Sciences and Technology, Beijing Institute of Technology China, while a Master's degree (2015) from the Department of Computer Sciences from IMSciences University Peshawar Pakistan. He has achieved above 50 research articles in peer-reviewed journals and conferences, including top journals such as Information Sciences, Science China Information Sciences, Computational Intelligence and Neuroscience, Physica-A, and IEEE ACCESS. His interests include Cognitive Computing, Deep Cognitive Modeling for Students' Performance Prediction, and Cognitive Modeling in Object Detection using remote sensing images. Also, in parallel, we are focusing on Cognitive Model-based big data processing.

Mohamed Hammad received the Ph.D. degree from the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, in 2019. He is currently an Assistant Professor with the Faculty of Computers and Information, Menoufia University, Egypt. He is also a Researcher with the EIAS Data Science Laboratory, College of Computer and Information Sciences, Prince Sultan University. He has published more than 50 articles in international SCI-IF journals. His research interests include biomedical imaging, bioinformatics, cyber security, the IoT, computer vision, machine learning, deep learning, pattern recognition, and biometrics. Furthermore, he served as an Editor Board Member for PLOS One and BMC Bioinformatics, an Associate Editor for International Journal of Information Security and Privacy, a Topics Board Editor for Forensic Sciences (MPDI), and the Guest Editor for many international journals, such as International Journal of Digital Crime and Forensics, Sensors (MDPI), and Information (MDPI). He is a reviewer of more than 500 articles for many prestigious journals and listed in the top 2% of scientists worldwide (according to the recently released list by Stanford University, USA, in 2022 and 2023).

作者簡介(中文翻譯)

Najib BEN AOUN 於突尼西亞的國立工程師學院 Sfax (ENIS) 獲得計算機系統工程碩士及博士學位。他擁有約 20 年的教學經驗，並且在指導學士、碩士及博士生方面有豐富的經驗。目前，他是沙烏地阿拉伯阿爾巴哈大學計算與資訊學院 (FCI) 的副教授。他同時也是突尼西亞智能機器研究小組 (REGIM-Lab) 的高級研究員。他的主要研究興趣包括機器學習（包括深度學習）在計算機視覺、醫學影像分析、農業、安全/生物識別及數據科學中的應用。他在國際知名會議和高水平期刊上發表了 30 多篇研究論文。他在多個 SCI/SCIE/Scopus 索引的期刊中擔任編輯角色，並與 Springer 和 Frontiers 編輯過書籍。此外，他參與了多個國際會議和研討會的組織，並擔任多個國際會議和期刊的審稿人。Najib 博士目前是 IEEE 的高級會員，並且是 ACM、IAPR、MIRLabs、IAES、IEEE 及 IEEE SPS 的成員，以及 IEEE SPS IVMSP、MMSP 和 MLSP 技術委員會的附屬成員。

Sadique Ahmad 是 KnowledgeShare IU Private Limited 的執行長。此外，他是巴基斯坦卡拉奇巴赫里亞大學計算機科學系的高級助理教授（目前休假中）。目前，他在沙烏地阿拉伯利雅德的王子蘇丹大學擔任博士後研究員。Sadique Ahmad 博士於 2019 年在中國北京理工大學計算機科學與技術系獲得博士學位，並於 2015 年在巴基斯坦白沙瓦的 IMSciences 大學計算機科學系獲得碩士學位。他在同行評審的期刊和會議上發表了超過 50 篇研究文章，包括《Information Sciences》、《Science China Information Sciences》、《Computational Intelligence and Neuroscience》、《Physica-A》和《IEEE ACCESS》等頂級期刊。他的研究興趣包括認知計算、學生表現預測的深度認知建模，以及使用遙感影像的物體檢測中的認知建模。此外，我們還專注於基於認知模型的大數據處理。

Mohamed Hammad 於 2019 年在中國哈爾濱的哈爾濱工業大學計算機科學與技術學院獲得博士學位。目前，他是埃及梅努非亞大學計算機與資訊學院的助理教授。他同時也是王子蘇丹大學計算機與資訊科學學院 EIAS 數據科學實驗室的研究員。他在國際 SCI-IF 期刊上發表了超過 50 篇文章。他的研究興趣包括生物醫學影像學、生物資訊學、網絡安全、物聯網、計算機視覺、機器學習、深度學習、模式識別和生物識別。此外，他曾擔任 PLOS One 和 BMC Bioinformatics 的編輯委員會成員，國際資訊安全與隱私期刊的副編輯，法醫科學 (MPDI) 的主題編輯，以及多個國際期刊的客座編輯，如《International Journal of Digital Crime and Forensics》、《Sensors (MDPI)》和《Information (MDPI)》。他為多個知名期刊審稿超過 500 篇文章，並根據美國史丹佛大學於 2022 年和 2023 年發布的最新名單，位列全球前 2% 的科學家。

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