Paul Coulthard – författare

Now in its fourth edition, this popular text provides a comprehensive overview of the oral and maxillofacial subjects in dentistry that students will need in order to pass their final exams.

This invaluable adjunct to exam preparation provides a practical synthesis of core information, reflecting real-life case scenarios. Information is structured to enhance understanding and clinical decision making, and a variety of self-assessment methods prepare students for success.

Comprehensively updated, the book covers a range of essential topics in the field of contemporary oral and maxillofacial subjects, including surgical flap design, state-of-the-art surgical techniques, zygomatic implants, molecular pathology, current imaging applications and pain management. The text is integrated and evidence based throughout.

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.