Artificial Intelligence and Machine Learning in Healthcare
暫譯: 醫療保健中的人工智慧與機器學習

Yadav, Dharmendra Kumar, Gulati, Anamika

Artificial Intelligence and Machine Learning in Healthcare
  • 出版商: Springer
  • 出版日期: 2024-10-30
  • 售價: $5,080
  • 貴賓價: 9.5 折 $4,826
  • 語言: 英文
  • 頁數: 187
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819964741
  • ISBN-13: 9789819964741
  • 相關分類: 人工智慧、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriersto rapid implementation of AI in healthcare.

商品描述(中文翻譯)

本書探討人工智慧（AI）和機器學習在醫療保健中的應用。AI及相關技術在商業和社會中越來越普遍，並開始應用於醫療保健。這些技術有潛力改變病人護理的許多方面，以及提供者、支付者和製藥組織內的行政流程。目前已有多項研究顯示，AI在關鍵的醫療任務上，如疾病診斷，能夠與人類表現相當或更佳。如今，演算法已經在發現惡性腫瘤方面超越放射科醫生，並指導研究人員如何為昂貴的臨床試驗構建隊列。然而，由於各種原因，作者認為在廣泛的醫療流程領域，AI取代人類仍需許多年。通過本書，作者描述了AI在自動化護理方面所提供的潛力，以及在醫療保健中快速實施AI的一些障礙。

作者簡介

Dr. Dharmendra Kumar Yadav is presently working as Assistant Professor at Department of Statistics & Demography, National Institute of Health & Family Welfare (NIHFW), New Delhi, India. He is also Assistant Nodal Officer of Learning Management Information System (LMIS), Ministry of Health & Family Welfare (MoHFW), Government of India. Dr. Yadav is Fellow of Royal Statistical Society (FRSS), London, UK, and Elected Member of International Statistical Institute (ISI), Netherlands. His fields of specialization are Artificial Intelligence, Machine Learning, Health Informatics, Computational Statistics, and Sampling Theory. He has teaching and research experience at University of Lucknow and University of Delhi. He has almost 25 research publications in various journals of national and international repute. He has been Editor of 6 edited books and contributed 13 chapters to various books. He has attended more than 20 national and international workshops and training programs inIndia and abroad. Dr. Yadav has received InSc Research Excellence Award-2020 by Institute of Scholars (InSc) Bangalore, India, for his outstanding research. Recently, he received Excellent Presentation Award at FIM international conference-2021 at Waseda University, Japan.


Dr. Anamika is Assistant Professor at the Center for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, and Convener and Innovation Ambassador of Institute's Innovation Council and Coordinator, National Innovation Startup Policy, Ministry of Education's Innovation Cell. She currently holds an experience of about 15 years in various pharmaceutical industries (such as Novartis Healthcare) and academia. She is Editorial Board Member of Precision Medicine Research Journal and Canadian Journal of Applied Pharmacy. In terms of professional appreciation, she has been awarded with Above and Beyond Ovations Award 2014 in recognition of working with India CPO Oncology and Sandoz to provide publication writing training to medical doctors, including oncologists at medical institutions throughout India and supporting the 'Catch them Young Initiative' and Above and Beyond Ovations Award 2016 in recognition for collaborating with India oncology CPO to provide scientific writing training to oncologists at leading hospitals in India. During the years of experience, she has presented her research at various national and international platforms in the form of conference presentations as well as manuscript publications.

作者簡介(中文翻譯)

德哈門德拉·庫馬爾·雅達夫博士目前擔任印度新德里國家衛生與家庭福利研究所（NIHFW）統計與人口學系的助理教授。他同時也是印度政府衛生與家庭福利部（MoHFW）學習管理資訊系統（LMIS）的助理聯絡官。雅達夫博士是英國倫敦皇家統計學會（FRSS）會員，並且是荷蘭國際統計學會（ISI）當選會員。他的專業領域包括人工智慧、機器學習、健康資訊學、計算統計學和抽樣理論。他在盧克瑙大學和德里大學擁有教學和研究經驗。他在各類國內外知名期刊上發表了近25篇研究論文。他擔任過6本編輯書籍的編輯，並為多本書籍貢獻了13章內容。他參加了超過20場國內外的研討會和培訓計畫。雅達夫博士因其卓越的研究成果，獲得了印度班加羅爾學者研究卓越獎（InSc Research Excellence Award-2020）。最近，他在日本早稻田大學舉辦的FIM國際會議2021上獲得了優秀報告獎。

阿納米卡博士是新德里賈瓦哈拉爾·尼赫魯大學社會科學學院科學政策研究中心的助理教授，並擔任該研究所創新委員會的召集人和創新大使，以及教育部創新單位的國家創新創業政策協調員。她在各類製藥行業（如諾華醫療）和學術界擁有約15年的經驗。她是《精準醫療研究期刊》和《加拿大應用藥學期刊》的編輯委員會成員。在專業認可方面，她曾獲得2014年「超越期待獎」（Above and Beyond Ovations Award），以表彰她與印度CPO腫瘤學部門及Sandoz合作，為全印度的醫療機構醫生（包括腫瘤科醫生）提供出版寫作培訓，並支持「Catch them Young Initiative」計畫；以及2016年「超越期待獎」，以表彰她與印度腫瘤CPO合作，為印度主要醫院的腫瘤科醫生提供科學寫作培訓。在多年的經驗中，她在各類國內外平台上以會議報告和手稿出版的形式展示了她的研究成果。

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