AIMC Topic: Orthodontics

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Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Scientific reports
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an...

The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review.

BMC oral health
BACKGROUND: Generative AI technologies offer significant opportunities to enhance orthodontic education by improving knowledge retention, clinical decision-making, and skills training. This systematic review aimed to evaluate the impact of generative...

Comparative analysis of AI chatbot (ChatGPT-4.0 and Microsoft Copilot) and expert responses to common orthodontic questions: patient and orthodontist evaluations.

BMC oral health
OBJECTIVE: The aim of this study was to evaluate the adequacy of responses provided by experts and artificial intelligence-based chatbots (ChatGPT-4.0 and Microsoft Copilot) to frequently asked orthodontic questions, utilizing scores assigned by pati...

Comparing orthodontic pre-treatment information provided by large language models.

BMC oral health
This study collected and screened the 50 most common pre-treatment consultation questions from adult orthodontic patients through clinical practice. Responses to these questions were generated using three large language models: Ernie Bot, ChatGPT, an...

Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.

BMC oral health
BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly, computer-assisted learning has demonstrated teaching outcomes comparable to those of traditional me...

Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms.

Biomedical engineering online
BACKGROUND: Malocclusion, characterized by dental misalignment and improper occlusal relationships, significantly impacts oral health and daily functioning, with a global prevalence of 56%. Lateral cephalogram is a crucial diagnostic tool in orthodon...

Applications of artificial intelligence in orthodontics: a bibliometric and visual analysis.

Clinical oral investigations
OBJECTIVES: To conduct a comprehensive bibliometric analysis of the literature on artificial intelligence (AI) applications in orthodontics to provide a detailed overview of the current research trends, influential works, and future directions.

Training, use, and modifications related to artificial intelligence in postgraduate orthodontic programs in North America.

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: The use of artificial intelligence (AI) is growing quickly and has already had a significant impact on the practice of orthodontics. This study aimed to explore the degree to which the study and use of AI have been integrated into accre...

Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review.

Journal of dentistry
OBJECTIVES: To provide an overview of artificial intelligence (AI) applications in orthodontic diagnosis and treatment planning, and to evaluate whether AI improves accuracy, reliability, and time efficiency compared to expert-based manual approaches...