About the Book
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.
Table of Contents:
Chapter 1: Introduction.- Part I: Foundations of AI in Healthcare.- Chapter 2: AI and Machine Learning in Health.- Chapter 3: Techniques for Medical Imaging.- Chapter 4: Techniques for Sequential Data in Healthcare.- Part II: Facial Trauma and AI Applications.- Chapter 5: AI in Diagnosing Cranio-Maxillofacial Trauma.- Chapter 6: AI in Surgical Planning and Simulation in Cranio-Maxillofacial Trauma.- Chapter 7: AI for Postoperative Surgical Site Infection Prediction.- Part III: Oral Health and AI Innovations.- Chapter 8: AI in Oral Health.- Chapter 9: AI in Head and Neck Cancer Screening.- Part IV: Systemic Disease and Oral Health.- Chapter 10: Oral-Systemic Health Interactions.- Chapter 11: AI in Managing Systemic Conditions.- Part V: Bridging Ecosystems with AI.- Chapter 12: AI in Integrating Facial Trauma, Oral Health, and Systemic Diseases.- Chapter 13: Ethical and Legal Considerations.- Chapter 14: The Future of AI in Integrated Cranio-maxillofacial, Oral, and Systemic Health.
About the Author :
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.
