Artificial Intelligence in Facial Trauma, Oral Diseases, and Systemic Health
暫譯: 面部創傷、口腔疾病與全身健康中的人工智慧
Pham, Tuan D., Holmes, Simon, Chatzopoulou, Domniki
- 出版商: Springer
- 出版日期: 2026-01-03
- 售價: $8,900
- 貴賓價: 9.5 折 $8,455
- 語言: 英文
- 頁數: 349
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032115302
- ISBN-13: 9783032115300
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相關分類:
Machine Learning
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相關主題
商品描述
This book explores the role of artificial intelligence in healthcare, focusing on cranio-maxillofacial trauma, oral health, and systemic disease. Part I establishes the foundations with core traditional machine learning and deep learning methods, imaging pipelines from classical features to CNNs and vision transformers, data augmentation, explainable AI, and sequential data approaches including RNNs, LSTMs, transformers, fuzzy recurrence plots, and scalable recurrence graph networks.
Parts II-IV highlight clinical applications. In facial trauma, chapters cover injury patterns and AI diagnostics as well as text-based mortality prediction and mandible network analysis. Surgical planning and simulation are addressed through 3D reconstruction, patient-specific implant design, outcome prediction, and workflow integration, with real-world examples in orthognathic surgery and fibula free flap reconstruction. Postoperative infection risk prediction is presented through multimodal monitoring. Oral health applications include AI for caries and periodontal disease, pediatric imaging enhanced by vision-language models, and cancer screening for early detection, biomarker discovery, and precision medicine. Oral-systemic links, including diabetes and cardiovascular disease, are analyzed using tensor models and recurrence-based methods.
Part V integrates trauma, oral health, and systemic conditions, and concludes with ethical, legal, and policy considerations, as well as future directions in federated learning, digital twins, and global health equity.
商品描述(中文翻譯)
這本書探討人工智慧在醫療保健中的角色，重點關注顱顏外傷、口腔健康和全身性疾病。第一部分建立了基礎，涵蓋核心的傳統機器學習和深度學習方法，從經典特徵到卷積神經網絡（CNNs）和視覺變壓器（vision transformers）的影像處理流程，數據增強、可解釋的人工智慧（explainable AI），以及包括遞歸神經網絡（RNNs）、長短期記憶網絡（LSTMs）、變壓器（transformers）、模糊重複圖（fuzzy recurrence plots）和可擴展的重複圖網絡（scalable recurrence graph networks）在內的序列數據方法。
第二至第四部分強調臨床應用。在面部外傷方面，章節涵蓋了受傷模式和人工智慧診斷，以及基於文本的死亡率預測和下頜骨網絡分析。手術規劃和模擬通過三維重建、病人特定的植入物設計、結果預測和工作流程整合來解決，並提供了正顎手術和腓骨自由皮瓣重建的實際案例。術後感染風險預測則通過多模態監測來呈現。口腔健康應用包括用於齲齒和牙周病的人工智慧、通過視覺-語言模型增強的兒科影像，以及用於早期檢測的癌症篩查、生物標記物發現和精準醫療。口腔與全身之間的聯繫，包括糖尿病和心血管疾病，則使用張量模型和基於重複的方法進行分析。
第五部分整合了外傷、口腔健康和全身性疾病，並以倫理、法律和政策考量作結，還探討了聯邦學習、數位雙胞胎和全球健康公平的未來方向。
作者簡介
Tuan D. Pham is Professor of Artificial Intelligence in Imaging, Diagnostics, and Trauma at Barts and The London School of Medicine and Dentistry, Queen Mary University of London, and Honorary Professor at Barts Health NHS Trust, where he leads research at the interface of AI innovation and clinical practice. His research encompasses AI and machine learning for image processing, time-series analysis, complex networks, and pattern recognition, with wide-ranging applications across medicine, dentistry, biology, and mental health. An internationally recognized leader in AI for healthcare, Professor Pham has served as an Expert for the US FDA's Network of Digital Health Experts Program, contributing to global efforts in the safe and effective translation of AI into healthcare. His academic influence is reflected in ScholarGPS rankings, which place him among the top 0.05% of researchers worldwide, including #48 globally (lifetime) in Deep Learning (AI), with additional top-tier recognition in Biomedical Engineering. Dedicated to advancing both the science and practice of AI in healthcare, he is equally committed to mentoring the next generation of researchers to address emerging challenges in the field.
Simon Holmes is Consultant Oral and Maxillofacial Surgeon at The Royal London Hospital, with over 25 years' experience at the forefront of craniofacial trauma care. His clinical and academic work has centred on the development of evidence-based scoring systems for complex facial injury, including the ZS score and its extensions to the cranial vault and anterior skull base. Widely published and internationally recognised, he has produced outcome data demonstrating how structured injury assessment can predict operative time, implant needs, and patient recovery. Holmes's doctoral and subsequent research established a special interest in cranio-orbital trauma and orbital reconstruction, where his reflective, outcome-driven philosophy has influenced practice worldwide. He continues to advance AI-enabled approaches to diagnosis and surgical planning.
Domniki Chatzopoulou is Chair in Periodontology and Director of the MSc Programme at the College of Medicine and Dentistry, and a Reader at Queen Mary University of London. A specialist periodontist and ITI fellow, she has over 25 years of experience in clinical practice, research, and education, focusing on risk management in OMFS multidisciplinary trauma care, periodontal regeneration, mucogingival surgery, and implant dentistry. She is the Training Programme Director for Periodontics at Health Education England, Deputy Chair for Central and North London (MCN London Commissioning), plays a key role in clinical leadership at both local and national levels, and lectures internationally. Actively involved in postgraduate training, research, and professional examinations, she plays a key role in advancing periodontal education and clinical care while continuing to provide specialist treatment and acute care in trauma service.
Paul Coulthard is Professor of Oral and Maxillofacial Surgery at Queen Mary University of London. He has been Dean of 2 Dental Schools and Head of a Faculty of Medicine. He is the Founder and CEO of the research enterprise The Bloomsbury Trust, dedicated to promoting the Response of Healthcare Professions to Facial Injury. He was President of the British Association of Oral Surgeons and is Advisor to the Office of the Chief Dental Officer, British Government.
作者簡介(中文翻譯)
Tuan D. Pham 是倫敦大學女王瑪莉醫學與牙醫學院的人工智慧影像、診斷與創傷教授，以及 Barts Health NHS Trust 的榮譽教授，他在人工智慧創新與臨床實踐的交界處領導研究。他的研究涵蓋了影像處理、時間序列分析、複雜網絡和模式識別的人工智慧和機器學習，並在醫學、牙科、生物學和心理健康等領域有廣泛的應用。作為國際公認的醫療保健人工智慧領導者，Pham 教授曾擔任美國 FDA 數位健康專家網絡計畫的專家，為安全有效地將人工智慧轉化為醫療保健的全球努力做出貢獻。他的學術影響力在 ScholarGPS 排名中得以體現，將他列為全球前 0.05% 的研究人員，包括在深度學習 (AI) 領域全球排名第 48（終身）以及在生物醫學工程方面的其他頂尖認可。致力於推進醫療保健中人工智慧的科學與實踐，他同樣致力於指導下一代研究人員應對該領域的新興挑戰。
Simon Holmes 是倫敦皇家醫院的顱面外科顧問醫生，擁有超過 25 年的顱面創傷護理前沿經驗。他的臨床和學術工作集中於為複雜面部損傷開發基於證據的評分系統，包括 ZS 評分及其對顱腔和前顱底的擴展。他的研究成果廣泛發表並獲得國際認可，並提供了結果數據，顯示結構化損傷評估如何預測手術時間、植入物需求和患者恢復。Holmes 的博士研究及後續研究確立了他對顱眼創傷和眼窩重建的特殊興趣，他的反思性、以結果為導向的理念影響了全球的實踐。他持續推進基於人工智慧的診斷和手術規劃方法。
Domniki Chatzopoulou 是倫敦大學女王瑪莉醫學與牙醫學院的牙周病學主席及碩士課程主任，並擔任讀者。作為專業的牙周病醫師和 ITI 研究員，她在臨床實踐、研究和教育方面擁有超過 25 年的經驗，專注於口腔顱面外科多學科創傷護理中的風險管理、牙周再生、黏膜牙齦手術和植牙。她是英國健康教育的牙周病學培訓計畫主任，並擔任倫敦中部和北部的副主席 (MCN London Commissioning)，在地方和國家層面上發揮關鍵的臨床領導作用，並在國際上講授。她積極參與研究生培訓、研究和專業考試，對推進牙周教育和臨床護理發揮了重要作用，同時繼續在創傷服務中提供專業治療和急救護理。
Paul Coulthard 是倫敦大學女王瑪莉醫學與牙醫學院的口腔和顱面外科教授。他曾擔任兩所牙科學校的院長和一個醫學院的院系主任。他是研究機構 The Bloomsbury Trust 的創始人和首席執行官，致力於促進醫療保健專業對面部損傷的反應。他曾擔任英國口腔外科醫生協會的會長，並是英國政府首席牙醫官辦公室的顧問。
