AI Medical Compendium Journal:
The Journal of clinical pediatric dentistry

Showing 1 to 8 of 8 articles

Co-Mask R-CNN: collaborative learning-based method for tooth instance segmentation.

The Journal of clinical pediatric dentistry
Traditional tooth image analysis methods primarily focus on feature extraction from individual images, often overlooking critical tooth shape and position information. This paper presents a novel computer-aided diagnosis method, Collaborative learnin...

Comparative analysis of deep-learning-based bone age estimation between whole lateral cephalometric and the cervical vertebral region in children.

The Journal of clinical pediatric dentistry
Bone age determination in individuals is important for the diagnosis and treatment of growing children. This study aimed to develop a deep-learning model for bone age estimation using lateral cephalometric radiographs (LCRs) and regions of interest (...

Classification of presence of missing teeth in each quadrant using deep learning artificial intelligence on panoramic radiographs of pediatric patients.

The Journal of clinical pediatric dentistry
Early tooth loss in pediatric patients can lead to various complications, making quick and accurate diagnosis essential. This study aimed to develop a novel deep learning model for classification of missing teeth on panoramic radiographs in pediatric...

Image segmentation of impacted mesiodens using deep learning.

The Journal of clinical pediatric dentistry
This study aimed to evaluate the performance of deep learning algorithms for the classification and segmentation of impacted mesiodens in pediatric panoramic radiographs. A total of 850 panoramic radiographs of pediatric patients (aged 3-9 years) was...

Role of artificial intelligence in behavior management of pediatric dental patients-a mini review.

The Journal of clinical pediatric dentistry
The influence of behavioral science on various organizations has been experiencing remarkable growth worldwide. With the integration of recent technological advancements, behavioral science's impact has expanded into diverse fields such as finance an...

Commercial artificial intelligence lateral cephalometric analysis: part 2-effects of human examiners on artificial intelligence performance, a pilot study.

The Journal of clinical pediatric dentistry
At the current technology level, a human examiner's review must be accompanied to compensate for the insufficient commercial artificial intelligence (AI) performance. This study aimed to investigate the effects of the human examiner's expertise on th...

Commercial artificial intelligence lateral cephalometric analysis: part 1-the possibility of replacing manual landmarking with artificial intelligence service.

The Journal of clinical pediatric dentistry
Artificial intelligence (AI) technology has recently been introduced to dentistry. AI-assisted cephalometric analysis is one of its applications, and several commercial AI services have already been launched. However, the performance of these commerc...

Transfer Deep Learning for Dental and Maxillofacial Imaging Modality Classification: A Preliminary Study.

The Journal of clinical pediatric dentistry
OBJECTIVE: To apply the technique of transfer deep learning on a small data set for automatic classification of X-ray modalities in dentistry.