Artificial Intelligence for Human Fertility: Trends, Insights, and Predictions
暫譯: 人類生育的人工智慧：趨勢、洞察與預測

Santosh, Kc, Roy, Debasmita Ghosh

Artificial Intelligence for Human Fertility: Trends, Insights, and Predictions
  • 出版商: Springer
  • 出版日期: 2025-10-25
  • 售價: $8,240
  • 貴賓價: 9.5 折 $7,828
  • 語言: 英文
  • 頁數: 165
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819512476
  • ISBN-13: 9789819512478
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

This book studies reasons behind the dramatic decline in total fertility rate (TFR), which has dropped to half of its previous levels. A major factor contributing to this trend is the widespread lack of recognition of fertility issues as a medical concern, compounded by insufficient societal awareness. To better understand the dynamics of human reproduction, this book identifies various factors that influence fertility, including the male and female reproductive systems, lifestyle choices, career demands, societal pressures, environmental factors, and personal habits (e.g., millennials). Central to this understanding is the collection of vast amounts of data, for which AI algorithms play a crucial role. The book studies how AI can help predict fertility outcomes by analyzing diverse datasets for both male and female populations. It also discusses the growing reliance on assisted reproductive technologies, despite their high costs and inconsistent success rates, and how AI can assist in predicting these success rates to ease the financial burden on patients. The primary goal of this book is to highlight how (explainable) AI can become a powerful tool in predicting human fertility. Ultimately, it aims at raising the global TFR and addressing the challenges posed by declining fertility rates around the world.

商品描述(中文翻譯)

本書研究總生育率（TFR）急劇下降的原因，該指標已降至之前水平的一半。造成這一趨勢的主要因素是對生育問題缺乏作為醫療關注的廣泛認識，加上社會意識不足。為了更好地理解人類生殖的動態，本書確定了影響生育的各種因素，包括男性和女性的生殖系統、生活方式選擇、職業需求、社會壓力、環境因素以及個人習慣（例如，千禧世代）。理解這些因素的核心在於收集大量數據，而人工智慧（AI）算法在此過程中扮演著至關重要的角色。本書研究了AI如何通過分析男性和女性人群的多樣數據集來幫助預測生育結果。它還討論了對輔助生殖技術日益依賴的情況，儘管這些技術的成本高昂且成功率不穩定，AI如何能幫助預測這些成功率，以減輕患者的經濟負擔。本書的主要目標是強調（可解釋的）AI如何成為預測人類生育的強大工具。最終，旨在提高全球的TFR，並應對全球生育率下降所帶來的挑戰。

作者簡介

Prof. KC Santosh is Highly Accomplished AI Expert and TEDx Speaker and is Chair of the Department of Computer Science at the University of South Dakota (USD), where he also serves as Founding Director of the AI Research Lab. His extensive background includes serving as Research Fellow at NIH and Postdoctoral Research Scientist (ITESOFT co.) at LORIA Research Center, France. With over $8 million in funding from sources such as the DOD, NSF, ED, and SDBOR, 10 published books, and more than 250 peer-reviewed research articles (including in IEEE TPAMI, IEEE TAI, and IEEE TMI), he contributes as Associate Editor for prestigious journals like IEEE Transactions on AI, IEEE Transactions on Medical Imaging, International J of Machine Learning and Cybernetics, and International J of Pattern Recognition and AI and actively serves as Program Chair for reputed conferences such as the IEEE Conference on AI, CogMI, and CBMS, and serves as a U.S. Speaker for AI Education as well as a member of the NIST AI Safety Institute Consortium.

Dr. Debasmita Ghosh Roy is Assistant Professor at the School of Automation, Banasthali Vidyapith (BV). She received her B.Tech. in applied electronics and instrumentation from the West Bengal University of Technology (WBUT), India, in 2008 and her M.Tech. in control and instrumentation from WBUT in 2012. Dr. Roy completed her Ph.D. in control and instrumentation (specialized in AI for human fertility assessment) from Banasthali Vidyapith, Rajasthan, India, in 2025. Her research interests include bioinformatics, pattern recognition, machine learning, deep learning, explainable AI, and data analytics. She is Member of the AI Research Lab.

作者簡介(中文翻譯)

教授 KC Santosh 是一位成就卓越的人工智慧專家及 TEDx 演講者，現任南達科他州大學 (USD) 計算機科學系主任，同時擔任人工智慧研究實驗室的創始主任。他擁有豐富的背景，曾擔任美國國立衛生研究院 (NIH) 的研究員及法國 LORIA 研究中心的博士後研究科學家 (ITESOFT 公司)。他獲得超過 800 萬美元的資金，來自國防部 (DOD)、國家科學基金會 (NSF)、教育部 (ED) 和南達科他州大學理事會 (SDBOR) 等機構，出版了 10 本書籍，並發表了超過 250 篇經過同行評審的研究文章（包括在 IEEE TPAMI、IEEE TAI 和 IEEE TMI 等期刊上）。他擔任 IEEE 人工智慧期刊、IEEE 醫學影像期刊、國際機器學習與網路安全期刊及國際模式識別與人工智慧期刊等知名期刊的副編輯，並積極擔任 IEEE 人工智慧會議、CogMI 和 CBMS 等著名會議的程序主席，同時也是美國人工智慧教育的演講者及 NIST 人工智慧安全研究所聯盟的成員。

德巴斯米塔·戈什·羅伊博士是巴納斯塔利維迪亞皮特學院 (BV) 自動化學院的助理教授。她於 2008 年在印度西孟加拉科技大學 (WBUT) 獲得應用電子學與儀器學的學士學位，並於 2012 年在 WBUT 獲得控制與儀器的碩士學位。羅伊博士於 2025 年在印度拉賈斯坦邦的巴納斯塔利維迪亞皮特學院完成控制與儀器的博士學位（專攻人類生育評估的人工智慧）。她的研究興趣包括生物資訊學、模式識別、機器學習、深度學習、可解釋的人工智慧及數據分析。她是人工智慧研究實驗室的成員。

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