Explainable AI in Healthcare Imaging for Medical Diagnoses: Digital Revolution of AI
暫譯: 醫療影像中的可解釋人工智慧:AI的數位革命與醫學診斷

Saba, Tanzila, Taher Azar, Ahmad, Kadry, Seifedine

  • 出版商: Academic Press
  • 出版日期: 2025-03-21
  • 售價: $7,140
  • 貴賓價: 9.5$6,783
  • 語言: 英文
  • 頁數: 400
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0443239797
  • ISBN-13: 9780443239793
  • 相關分類: 人工智慧
  • 尚未上市,無法訂購

商品描述

In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountability in AI-driven medical technologies. As AI becomes an integral part of clinical decision-making, especially in imaging and precision medicine, the question of how AI reaches its conclusions grows increasingly significant. This book explores how Explainable AI (XAI) is transforming healthcare by making AI systems more interpretable, reliable, and transparent, empowering clinicians and enhancing patient outcomes.
Through a comprehensive examination of the latest research, real-world case studies, and expert insights, this book delves into the application of XAI in medical imaging, disease diagnosis, treatment planning, and personalized care. It discusses the technical methodologies behind XAI, the challenges and opportunities of its integration into healthcare, and the ethical and regulatory considerations that will shape the future of AI-assisted medical decisions.
Key areas of focus include the role of XAI in improving diagnostic accuracy in fields such as radiology, pathology, and genomics and its potential to enhance collaboration between AI systems, healthcare professionals, and patients. The book also highlights practical applications of XAI in personalized medicine, showing how explainable models help tailor treatments to individual patients, and discusses how XAI can contribute to reducing bias and improving fairness in medical decision-making.
Written by leading experts in AI, healthcare, and precision medicine, Explain[S3G1] able AI in Healthcare Imaging for Precision Medicine is an essential resource for researchers, clinicians, students, and policymakers. Whether you are looking to stay at the forefront of AI innovations in healthcare or seeking to understand how explainability can build trust in AI systems, this book provides the insights and knowledge needed to navigate the evolving landscape of AI in medicine. It invites readers to explore how XAI can revolutionize healthcare and precision medicine, shaping a future where AI is both powerful and trustworthy.

商品描述(中文翻譯)

在人工智慧(AI)正在革新醫療保健的時代,醫療影像中的可解釋人工智慧以實現精準醫療 針對AI驅動的醫療技術中對透明度、信任和問責的迫切需求進行了探討。隨著AI成為臨床決策的重要組成部分,特別是在影像學和精準醫療領域,AI如何得出結論的問題變得越來越重要。本書探討了可解釋人工智慧(XAI)如何通過使AI系統更具可解釋性、可靠性和透明度來改變醫療保健,從而賦能臨床醫生並改善患者結果。

通過對最新研究、實際案例研究和專家見解的全面檢視,本書深入探討了XAI在醫療影像、疾病診斷、治療計劃和個性化護理中的應用。它討論了XAI背後的技術方法論、其整合到醫療保健中的挑戰與機遇,以及將塑造AI輔助醫療決策未來的倫理和監管考量。

重點領域包括XAI在提高放射學、病理學和基因組學等領域診斷準確性方面的作用,以及它在促進AI系統、醫療專業人員和患者之間的合作潛力。本書還突出了XAI在個性化醫療中的實際應用,展示了可解釋模型如何幫助為個別患者量身定制治療,並討論了XAI如何有助於減少偏見並改善醫療決策的公平性。

本書由AI、醫療保健和精準醫療領域的領先專家撰寫,醫療影像中的可解釋人工智慧以實現精準醫療 是研究人員、臨床醫生、學生和政策制定者的重要資源。無論您是希望在醫療保健的AI創新前沿保持領先,還是尋求了解可解釋性如何建立對AI系統的信任,本書提供了導航醫療中不斷演變的AI環境所需的見解和知識。它邀請讀者探索XAI如何革新醫療保健和精準醫療,塑造一個AI既強大又值得信賴的未來。