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 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.

It is fully comprehensive and highly illustrated (in colour, using mostly operative photographs), restricted solely to the surgical management of maxillofacial trauma, but includes most of the surfical approaches and methods of repair for all maxillofacial injuries.