Dental Health

How reliable is the artificial intelligence product large language model ChatGPT in orthodontics?

OBJECTIVES: To evaluate the reliability of information produced by the artificial intelligence-based program ChatGPT in terms of accuracy and relevance, as assessed by orthodontists, dental students, and individuals seeking orthodontic treatment.

MotIF: Motion Instruction Fine-tuning

While success in many robotics tasks can be determined by only observing the final state and how it differs from the initial state - e.g., if an apple is picked up - many tasks require observing the full motion of the robot to correctly determine success. For example, brushing hair requires repeated strokes that correspond to the contours and type of hair. Prior works often use off-the-shelf vis...

Visual Compositional Data Analytics for Spatial Transcriptomics

For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the scatter pie chart visualization of cell type proporti...

A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial

Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic dis...

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

OBJECTIVES: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and ...

Integrating artificial intelligence: A step forward in orthodontic education.

Artificial intelligence models in generating responses to general orthodontic questions: Comment.

Content analysis of AI-generated (ChatGPT) responses concerning orthodontic clear aligners.

OBJECTIVES: To assess the accuracy of ChatGPT answers concerning orthodontic clear aligners.

Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages.

OBJECTIVES: The objective of this study is to assess the accuracy of computer-assisted periodontal classification bone loss staging using deep learnin...

[Automated cephalometric landmark identification and location based on convolutional neural network].

To develop an automated landmark location system applicable to the case of landmark missing. Four and eighty-one lateral cephalograms, which contain...

Association between serum Galectin-3 and periodontitis in patients with type 2 diabetes mellitus.

OBJECTIVES: This study aims to investigate the correlation between serum Galectin-3 levels and the risk of periodontitis in patients with type 2 diabe...

Evaluation of an artificial intelligence system for the diagnosis of apical periodontitis on digital panoramic images.

AIMS: The aim of the present study was to evaluate the effectiveness of an artificial intelligence (AI) system in the detection of roots with apical p...

An automatic cephalometric landmark detection method based on heatmap regression and Monte Carlo dropout.

Cephalometric analysis plays an important role in orthodontic diagnosis and treatment planning. It depends on the detection of multiple landmarks, whi...

[Metal artifact reduction and clinical verification in oral and maxillofacial region based on deep learning].

To construct a kind of neural network for eliminating the metal artifacts in CT images by training the generative adversarial networks (GAN) model, s...

[Automated diagnostic classification with lateral cephalograms based on deep learning network model].

To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for o...

[Research on multi-class orthodontic image recognition system based on deep learning network model].

To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of ortho...

Augmenting digital twins with federated learning in medicine.

Providing increasingly personalized treatments to patients is a major goal of precision medicine, and digital twins are an emerging paradigm to suppor...

Research Representing the Changing Landscape of Family Medicine.

Family medicine continues to evolve in response to new technologies, new theories, and new problems to address. This issue of JABFM includes studies o...

Machine learning based orthodontic treatment planning for mixed dentition borderline cases suffering from moderate to severe crowding: An experimental research study.

BACKGROUND: Pedodontists and general practitioners may need support in planning the early orthodontic treatment of patients with mixed dentition, espe...

[Progress in application of deep learning in orthodontic diagnosis and treatment].

In recent years, the application of artificial intelligence technology in the field of orthodontics has gradually increased, and deep learning, as a h...