Artificial intelligence in facial trauma, oral diseases, and systemic health / Tuan D. Pham, Simon Holmes, Domniki Chatzopoulou, Paul Coulthard.

Format:

Book

Author/Creator:

Pham, Tuan D., author.

Holmes, Simon, 1964- author.

Chatzopoulou, Domniki, author.

Coulthard, Paul, author.

Language:

English

Subjects (All):

Medical informatics.

Medical sciences.

Artificial intelligence--Medical applications.

Artificial intelligence.

Face--Wounds and injuries.

Face.

Mouth--Diseases.

Mouth.

Facial Injuries.

Mouth Diseases.

Medical Subjects:

Facial Injuries.

Mouth Diseases.

Physical Description:

xxiv, 349 pages : illustrations (some color) ; 25 cm

Place of Publication:

Cham, Switzerland : Springer Nature Switzerland, [2026]

Summary:

"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." -- Provided by publisher.

Notes:

Includes bibliographical references.

ISBN:

9783032115300

3032115302

OCLC:

1545279926

Publisher Number:

90103643401

CIPO000343852