AIMC Topic: Orthodontics

Clear Filters Showing 31 to 40 of 55 articles

Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning.

Orthodontics & craniofacial research
OBJECTIVES: Palatal shape contains a lot of information that is of clinical interest. Moreover, palatal shape analysis can be used to guide or evaluate orthodontic treatments. A statistical shape model (SSM) is a tool that, by means of dimensionality...

Artificial intelligence in orthodontics: Where are we now? A scoping review.

Orthodontics & craniofacial research
OBJECTIVE: This scoping review aims to determine the applications of Artificial Intelligence (AI) that are extensively employed in the field of Orthodontics, to evaluate its benefits, and to discuss its potential implications in this speciality. Rece...

Applications of artificial intelligence and machine learning in orthodontics: a scoping review.

Progress in orthodontics
INTRODUCTION: This scoping review aims to provide an overview of the existing evidence on the use of artificial intelligence (AI) and machine learning (ML) in orthodontics, its translation into clinical practice, and what limitations do exist that ha...

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care.

BioMed research international
The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and...

Machine learning and orthodontics, current trends and the future opportunities: A scoping review.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: In recent years, artificial intelligence (AI) has been applied in various ways in medicine and dentistry. Advancements in AI technology show promising results in the practice of orthodontics. This scoping review aimed to investigate the...

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning.

Journal of dental research
Accurate segmentation of the jaw (i.e., mandible and maxilla) and the teeth in cone beam computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment planning. Although various (semi)automated methods have been proposed to se...

Machine learning in orthodontics: .

The Angle orthodontist
OBJECTIVES: To (1) introduce a novel machine learning method and (2) assess maxillary structure variation in unilateral canine impaction for advancing clinically viable information.

[The orthodontic diagnosis].

Nederlands tijdschrift voor tandheelkunde
Orthodontic diagnostics are based on medical history and clinical examination, and involve more than mere classification. Various diagnostic systems help structure the assessment of skeletal, dental, and functional abnormalities. In addition to tradi...

Information from digital and human sources: A comparison of chatbot and clinician responses to orthodontic questions.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: This study aimed to investigate whether artificial intelligence (AI)-based chatbots can be used as reliable adjunct tools in orthodontic practice by evaluating chatbot responses and comparing them to those of clinicians with varying lev...