Artificial Intelligence in Medicine and Dentistry: Advancing Science, Education, and Clinical Practice
暫譯: 醫學與牙科中的人工智慧:推進科學、教育與臨床實踐

Tayebi, Lobat, Shetty, Sachin, Imani, Seyedmisagh

  • 出版商: Springer
  • 出版日期: 2026-02-18
  • 售價: $4,530
  • 貴賓價: 9.8$4,439
  • 語言: 英文
  • 頁數: 269
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032159768
  • ISBN-13: 9783032159762
  • 相關分類: AI Coding
  • 海外代購書籍(需單獨結帳)

商品描述

This comprehensive book bridges the gap between cutting-edge artificial intelligence (AI) technology and its practical applications in dentistry and medicine. It empowers healthcare professionals, educators, and students to stay ahead in a rapidly evolving field by providing in-depth knowledge and practical insights into how AI is transforming diagnostics, treatment planning, patient care, and education. The book thoroughly explores AI-driven innovations, such as enhanced dental diagnostics, robotics in surgery, personalized medicine, and the integration of AI into medical and dental education. Packed with real-world examples and case studies, it offers actionable strategies for implementing AI tools and technologies in clinical practice. Readers will gain a deep understanding of the ethical considerations and legal frameworks essential for the responsible adoption of AI, ensuring they are well-equipped to navigate the complexities of modern healthcare.

Artificial Intelligence in Medicine and Dentistry: Advancing Science, Education, and Clinical Practice is designed to help professionals elevate their practice, improve patient outcomes, and contribute to the advancement of healthcare. It serves as a vital resource for anyone looking to harness the power of AI to revolutionize their field, fostering innovation and driving progress in dentistry and medicine.

商品描述(中文翻譯)

這本全面的書籍彌合了尖端人工智慧(AI)技術與其在牙科和醫學中的實際應用之間的鴻溝。它使醫療專業人員、教育工作者和學生能夠在快速發展的領域中保持領先,提供深入的知識和實用的見解,說明AI如何改變診斷、治療計劃、病人護理和教育。這本書徹底探討了以AI驅動的創新,例如增強的牙科診斷、手術中的機器人技術、個性化醫療,以及AI在醫學和牙科教育中的整合。書中充滿了現實世界的例子和案例研究,提供可行的策略,以在臨床實踐中實施AI工具和技術。讀者將深入了解負責任地採用AI所需的倫理考量和法律框架,確保他們能夠妥善應對現代醫療的複雜性。

《人工智慧在醫學與牙科中的應用:推進科學、教育與臨床實踐》旨在幫助專業人士提升他們的實踐、改善病人結果,並為醫療的進步做出貢獻。它是任何希望利用AI的力量來徹底改變其領域的人的重要資源,促進創新並推動牙科和醫學的進步。

作者簡介

Lobat Tayebi, PhD, DPhil, is the Batten Endowed Professor in the Department of Electrical and Computer Engineering at Old Dominion University (ODU), where she serves as the director of the Institute for Engineering in Medicine, Health & Human Performance (EnMed). Dr. Tayebi joined ODU after nearly a decade at Marquette University School of Dentistry, where she was a Professor and Director of Research. She earned a PhD from the University of California-Davis in Applied Science and a DPhil degree from the University of Oxford in Engineering Science, Institute of Biomedical Engineering. Her expertise lies in tissue engineering and regenerative medicine. Dr. Tayebi's publications, patents, and presentations comprise six published patents, over 400 articles (h-index: 78), including papers in Nature Materials and Advanced Materials, and over 200 conference presentations and proceedings. She is the author of the books Research Methods in Dentistry (Springer, 2022) and 3D Printing in Oral and Maxillofacial Surgery (Springer, 2021). In addition, she is the editor of the books Application of Biomedical Engineering in Dentistry (Springer, 2019) and Biomaterials for Oral and Dental Tissue Engineering (Elsevier, 2017), which was selected as one of the 20 Best Biomaterials Books of All Time by BookAuthority. She is the recipient of the "President's Cup for Creative Interdisciplinarity (2014, Oklahoma State University) and "Rising Star, 2016" (Marquette University). She enjoys interdisciplinary projects and genuinely believes in the effectiveness of multidisciplinary efforts.

Sachin Shetty, PhD, is an Executive Director of the Center for Secure and Intelligent Critical Systems at the Virginia Modeling, Analysis, and Simulation Center and holds a joint appointment as a Professor with the Department of Electrical and Computer Engineering at Old Dominion University. His research interests lie at the intersection of computer networking, network security, and machine learning. Over the past 15 years, Dr. Shetty has completed many large-scale projects with multiple collaborators and institutions and served as the PI/Co-PI on various grants and contracts funded by numerous military and federal government departments and private businesses. He is the Technical Lead for the 5G Network Enhancement Prototype at Marine Corps Logistics Base, Albany, Georgia. Dr. Shetty has published over 200 research articles in journals and conference proceedings and edited four books. Two of his research papers were selected as the Top 50 academic papers in Blockchain in 2018. He is a Commonwealth Cyber Initiative Fellow, a recipient of the DHS Scientific Leadership Award, participated in the Fulbright Specialist Program, and was inducted into the Tennessee State University Million Dollar Club. Dr. Shetty won the Electric Power Research Institute (EPRI) Cyber Security Research Challenge in 2019. He is a Senior Member of the IEEE.

Seyedmisagh Imani, PhD, is a Postdoctoral Research Scholar at Old Dominion University, specializing in artificial intelligence, biomechanics, tissue engineering, and biomaterials. He focuses on enhancing patient care in medicine and dentistry through innovative technological solutions. Dr. Imani is currently developing AI-driven models to predict oral health outcomes, optimize treatment planning, and identify risk factors associated with dental conditions. He held a Research Fellowship at Massachusetts General Hospital, Harvard Medical School, where he investigated the relationship between aging, age-related diseases, and joint replacement using machine learning algorithms. An active contributor to the scientific community, he has authored numerous peer-reviewed articles and holds several patents in the biomedical field. He is dedicated to advancing medical and dental sciences through multidisciplinary research and innovation.

作者簡介(中文翻譯)

Lobat Tayebi 博士、DPhil,是老道明大學(Old Dominion University, ODU)電機與計算機工程系的巴滕講座教授,並擔任醫學、健康與人類表現工程研究所(Institute for Engineering in Medicine, Health & Human Performance, EnMed)的主任。Tayebi 博士在加入 ODU 之前,曾在馬凱特大學牙醫學院工作近十年,擔任教授及研究主任。她在加州大學戴維斯分校獲得應用科學博士學位,並在牛津大學的生物醫學工程學院獲得工程科學的 DPhil 學位。她的專長在於組織工程和再生醫學。Tayebi 博士的出版物、專利和演講包括六項已發表的專利、超過 400 篇文章(h-index: 78),其中包括在《Nature Materials》和《Advanced Materials》上發表的論文,以及超過 200 次的會議演講和論文集。她是《牙科研究方法》(Research Methods in Dentistry, Springer, 2022)和《口腔與顎面外科的 3D 列印》(3D Printing in Oral and Maxillofacial Surgery, Springer, 2021)兩本書的作者。此外,她還是《生物醫學工程在牙科中的應用》(Application of Biomedical Engineering in Dentistry, Springer, 2019)和《口腔與牙科組織工程的生物材料》(Biomaterials for Oral and Dental Tissue Engineering, Elsevier, 2017)兩本書的編輯,後者被 BookAuthority 選為「歷史上 20 本最佳生物材料書籍」之一。她曾獲得「創意跨學科總統獎杯」(President's Cup for Creative Interdisciplinarity, 2014, Oklahoma State University)和「新星獎」(Rising Star, 2016, Marquette University)。她喜歡跨學科的項目,並真心相信多學科合作的有效性。

Sachin Shetty 博士,是維吉尼亞建模、分析與模擬中心(Virginia Modeling, Analysis, and Simulation Center)安全與智能關鍵系統中心的執行主任,並在老道明大學的電機與計算機工程系擔任聯合教授。他的研究興趣位於計算機網絡、網絡安全和機器學習的交叉點。在過去的 15 年中,Shetty 博士與多個合作者和機構完成了許多大型項目,並擔任多項由多個軍事和聯邦政府部門及私營企業資助的計畫的首席研究員或共同首席研究員。他是喬治亞州阿爾巴尼的海軍陸戰隊物流基地 5G 網絡增強原型的技術負責人。Shetty 博士在期刊和會議論文集中發表了超過 200 篇研究文章,並編輯了四本書籍。他的兩篇研究論文在 2018 年被選為區塊鏈領域的前 50 篇學術論文。他是英聯邦網絡倡議的研究員,獲得了國土安全部科學領導獎,參加了富布賴特專家計畫,並被納入田納西州立大學的百萬美元俱樂部。Shetty 博士在 2019 年贏得了電力研究所(Electric Power Research Institute, EPRI)網絡安全研究挑戰賽。他是 IEEE 的資深會員。

Seyedmisagh Imani 博士,是老道明大學的博士後研究學者,專注於人工智慧、生物力學、組織工程和生物材料。他專注於通過創新的技術解決方案提升醫學和牙科的病人護理。Imani 博士目前正在開發基於 AI 的模型,以預測口腔健康結果、優化治療計劃,並識別與牙科疾病相關的風險因素。他曾在哈佛醫學院的麻省總醫院擔任研究獎學金,研究老化、與年齡相關的疾病和關節置換之間的關係,並使用機器學習算法。作為科學社群的活躍貢獻者,他撰寫了多篇經過同行評審的文章,並在生物醫學領域擁有多項專利。他致力於通過多學科研究和創新推進醫學和牙科科學的發展。