Simon Holmes – författare

The idea behind this book is to produce a fully comprehensive and highly illustrated “how to” technical reference manual, demonstrating surgical procedures in a step by step manner.

The treatment of eye, nose, cheek, ear, jaw, and soft tissue deformities are also discussed.Atlas of Operative Maxillofacial Trauma Surgery: Post-Traumatic Deformity aims to give a framework to trainee and practising surgeons to help them manage trauma and allow them to assess and treat patients with facial deformities.

The idea behind this book is to produce a fully comprehensive and highly illustrated “how to” technical reference manual, demonstrating surgical procedures in a step by step manner.

Traditional web dev stacks use a different programming language in every layer, resulting in a complex mashup of code and frameworks. Developers and businesses love it because it's scalable and cost-effective. End users love it because the apps created with it are fast and responsive. It's a win-win-win!

 

Getting MEAN, Second Edition is completely revised and updated to cover Angular 2, Node 6 and the latest mainstream release of JavaScript ES2015 (ES6).

 

Key features

•    Completely revised

•    Hands-on examples

•    Step-by-step guide

 

Readers should have some web development experience. This book is based on MongoDB 3, Express 4, Angular 2, and Node.js 6, making use of the ES2015 JavaScript syntax.

 

The MEAN stack is a pure JavaScript stack comprised of four main technologies, with a cast of supporting technologies: MongoDB–the database, Express–the web framework, Angular–the front-end framework, and Node.js–the web server.

This is a full-colour illustrative textbook written by highly experienced consultants from two different continents — Asia and Europe — which sets out to compare the two possibly dissimilar scenarios of maxillofacial trauma in relation to the epidemiology and aetiology of the two regions. All cases presented in this atlas are from the authors' personal experience during their day-to-day management of patients.The surgical procedure is explained in a step-by-step manner which allows for better understanding, particularly by students who have not had the opportunity to observe the procedures in clinics and operating theatres. To ensure maximum comprehension of material, the text is written in a clear and concise manner and positioned alongside real-life photographs. Important decision-making points on some topics are highlighted within boxes.

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.