Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity
暫譯: 醫療保健中的生成智能：以AI創造力轉變病患照護
Gupta, Sakshi, Gupta, Umesh, Sharma, Moolchand
商品描述
This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.
Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity delves into the use of generative models for personalized medicine, data analytics, and predictive modelling, providing real-world examples of how AI creativity can revolutionize treatment strategies and diagnostic processes. It focuses on the origin and basics of generative AI, generative AI models, and possible areas in healthcare where generative AI can work. It discusses how generative AI model will help healthcare providers automatically generate prescriptions, discharge summaries, and patient conditions. The unique strength of this book lies in its comprehensive examination of ethical considerations and regulatory frameworks, ensuring a responsible and transparent integration of generative intelligence in healthcare. By addressing current challenges and envisioning future directions, this book serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to harness the full potential of AI creativity to enhance patient outcomes.
The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science.
商品描述(中文翻譯)
這本書探討人工智慧與醫療保健的交集，重點在於生成智慧。書中將介紹生成智慧的概念及其在病人護理中的變革潛力，展示超越傳統人工智慧方法的應用。
《醫療保健中的生成智慧：以人工智慧創造力轉變病人護理》深入探討生成模型在個人化醫療、數據分析和預測建模中的應用，提供真實案例，展示人工智慧創造力如何徹底改變治療策略和診斷過程。書中聚焦於生成人工智慧的起源和基礎、生成人工智慧模型，以及生成人工智慧在醫療保健中可能的應用領域。它討論了生成人工智慧模型如何幫助醫療提供者自動生成處方、出院摘要和病人狀況。這本書的獨特之處在於其對倫理考量和監管框架的全面檢視，確保生成智慧在醫療保健中的負責任和透明整合。通過解決當前挑戰並展望未來方向，這本書成為醫療專業人員、研究人員和政策制定者尋求充分利用人工智慧創造力以提升病人結果的寶貴資源。
本書適合生物醫學工程、電機工程、信號處理工程、生物醫學影像及計算機科學的研究生、研究人員和專業人士閱讀。
作者簡介
Sakshi Gupta is presently working as an Assistant Professor at Manav Rachna International Institute of Research and Studies, Faridabad. Haryana. She received her Ph.D. degree from the Birla Institute of Technology Mesra, Ranchi, and MCA from Gautam Buddha Technical University Lucknow, Uttar Pradesh. Her areas of interest include the Internet of Things, mobile ad-hoc networks, Body Area Networks, Machine learning, and Deep learning. She also has three published patents.
Umesh Gupta is currently an Associate Professor at the School of Computer Science & Artificial Intelligence at Bennett University, Greater Noida, India. He received hi Ph.D. in Machine Learning from the National Institute of Technology, Arunachal Pradesh, India. He was awarded a gold medal for his Master's of Engineering (M.E.) from the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India, and Bachelor of Technology (B.Tech.) from Dr APJ, Abdul Kalam Technical University, Lucknow, India. He has more than 14 years of work experience in Academics and Research. His research interests include SVM, ELM, RVFL, machine learning, and deep learning approaches. He published three patents in the years 2021-2023.
Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. His research areas include Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is currently a doctoral researcher at DCR University of Science and Technology, Haryana.
Kamal Malik is currently a Professor in CSE in School of Engineering and Technology at CTU Ludhiana, Punjab, India. Her major areas of research are Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Computational Neurosciences and bio-inspired computing. She has more than 13 years of academic and research experience. Her passion is to teach computer science engineering and to encourage critical thinking for her students in domains like Machine Learning, Data Science, Business Analytics, Cloud Computing, Internet of Things and Blockchain.
作者簡介(中文翻譯)
Sakshi Gupta 目前擔任印度法里達巴德 Manav Rachna 國際研究與學院的助理教授。她在 Ranchi 的 Birla Institute of Technology Mesra 獲得博士學位，並在印度烏塔爾邦的 Gautam Buddha 技術大學獲得 MCA。她的研究興趣包括物聯網、移動自組網、身體區域網絡、機器學習和深度學習。她還擁有三項已發表的專利。
Umesh Gupta 目前是印度大諾伊達 Bennett 大學計算機科學與人工智慧學院的副教授。他在印度阿魯納恰爾邦的國立技術學院獲得機器學習博士學位。他因在印度昌迪加爾的國立技術教師培訓與研究院（NITTTR）獲得工程碩士（M.E.）金牌，並在印度盧克瑙的 Dr APJ Abdul Kalam 技術大學獲得技術學士（B.Tech.）學位。他在學術和研究方面擁有超過 14 年的工作經驗。他的研究興趣包括支持向量機（SVM）、極限學習機（ELM）、隨機向量功能鏈（RVFL）、機器學習和深度學習方法。他在 2021 至 2023 年間發表了三項專利。
Moolchand Sharma 目前是印度德里 GGSIPU 的 Maharaja Agrasen 技術學院計算機科學與工程系的助理教授。他的研究領域包括人工智慧、自然啟發計算、雲計算安全、機器學習和搜索引擎優化。他目前是哈里亞納邦 DCR 科學與技術大學的博士研究生。
Kamal Malik 目前是印度旁遮普邦 Ludhiana 的 CTU 工程與技術學院計算機科學與工程系的教授。她的主要研究領域包括人工智慧、機器學習、深度學習、數據分析、計算神經科學和生物啟發計算。她擁有超過 13 年的學術和研究經驗。她熱衷於教授計算機科學工程，並鼓勵學生在機器學習、數據科學、商業分析、雲計算、物聯網和區塊鏈等領域進行批判性思考。
