Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications
暫譯: 醫學影像中的可解釋人工智慧：基礎與應用

Khan, Amjad Rehman, Saba, Tanzila

Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications
  • 出版商: Auerbach Publication
  • 出版日期: 2025-02-27
  • 售價: $9,290
  • 貴賓價: 9.5 折 $8,826
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032598980
  • ISBN-13: 9781032598987
  • 相關分類: 人工智慧

    • 尚未上市，無法訂購

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商品描述

Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industry's next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered.

Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. This book overviews the principles, methods, issues, challenges, opportunities, and the most recent research findings. It makes the emerging topics of digital health and explainable AI in health care and medical imaging accessible to a wide audience by presenting various practical applications.

Presenting a thorough review of state-of-the-art techniques for precise analysis and diagnosis, the book emphasizes explainable artificial intelligence and its applications in healthcare. The book also discusses computational vision processing methods that manage complicated data, including physiological data, electronic medical records, and medical imaging data, enabling early prediction. Researchers, academics, business professionals, health practitioners, and students all can benefit from this book's insights and coverage.

商品描述(中文翻譯)

人工智慧（AI）在醫學領域的應用正在上升，並且它擁有巨大的潛力，可以提供更準確的發現和針對複雜醫療問題的新解決方案。生物醫學AI在精準醫療的背景下，特別是在醫療產業下一階段的發展和進步中，展現出其潛力。將AI研究整合進精準醫療是未來的趨勢；然而，人類因素必須始終被考慮在內。

《可解釋的人工智慧在醫學影像中的應用：基礎與應用》專注於將人工智慧和數據科學應用於醫療保健和醫學影像的最新發展。可解釋的人工智慧是一種結構良好、可調整的技術，能夠產生公正、樂觀的結果。可解釋的人工智慧在醫療保健中的新應用包括臨床試驗匹配、持續健康監測、概率演變和基於證據的機制。本書概述了原則、方法、問題、挑戰、機會以及最新的研究成果。它通過呈現各種實用應用，使數位健康和醫療保健及醫學影像中的可解釋AI等新興主題對廣大讀者變得可接觸。

本書提供了對最先進技術的全面回顧，以進行精確分析和診斷，強調可解釋的人工智慧及其在醫療保健中的應用。本書還討論了處理複雜數據的計算視覺處理方法，包括生理數據、電子病歷和醫學影像數據，從而實現早期預測。研究人員、學者、商業專業人士、健康從業者和學生都能從本書的見解和內容中受益。

作者簡介

Amjad Rehman Khan (Senior Member, IEEE) earned a Ph.D. from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, specializing in information security using image processing techniques in 2010. He received a Rector Award for the 2010 Best Student from UTM Malaysia. He is currently associate professor at CCIS Prince Sultan University Riyadh, Saudi Arabia. He is also a principal investigator in several projects and completed projects funded by MoHE Malaysia, Saudi Arabia. His research interests are bioinformatics, IoT, information security, and pattern recognition.

Tanzila Saba (Senior Member, IEEE) received his Ph.D. degree in document information security and management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, in 2012. She is currently a full professor with the College of Computer and Information Sciences, Prince Sultan University (PSU), Riyadh, Saudi Arabia, and also the leader of the AIDA Laboratory. She has published over 300 publications in high-ranked journals. Her primary research interests include bioinformatics, data mining, and classification using AI models. She received the Best Student Award from the Faculty of Computing, UTM, in 2012 and also received the best researcher award from PSU, from 2013 to 2016. She is the editor of several reputed journals and on a panel of TPC of international conferences.

作者簡介(中文翻譯)

阿姆賈德·雷赫曼·汗（Senior Member, IEEE）於2010年在馬來西亞科技大學（Universiti Teknologi Malaysia, UTM）的計算學院獲得博士學位，專攻使用影像處理技術的資訊安全。他因在2010年獲得UTM馬來西亞最佳學生獎而受到表彰。目前，他是沙烏地阿拉伯利雅德的王子蘇丹大學（Prince Sultan University）計算與資訊科學學院的副教授。他也是多個項目的主要研究員，並完成了由馬來西亞高等教育部（MoHE）和沙烏地阿拉伯資助的項目。他的研究興趣包括生物資訊學、物聯網、資訊安全和模式識別。

坦茲拉·薩巴（Senior Member, IEEE）於2012年在馬來西亞科技大學（Universiti Teknologi Malaysia, UTM）的計算學院獲得文件資訊安全與管理的博士學位。她目前是沙烏地阿拉伯利雅德王子蘇丹大學（Prince Sultan University, PSU）計算與資訊科學學院的正教授，並且是AIDA實驗室的負責人。她在高排名的期刊上發表了超過300篇論文。她的主要研究興趣包括生物資訊學、資料探勘和使用AI模型的分類。她於2012年獲得UTM計算學院的最佳學生獎，並於2013年至2016年期間獲得PSU的最佳研究者獎。她是多本知名期刊的編輯，並參與國際會議的技術程序委員會（TPC）。

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