Dental radiographies have been used for many decades for estimating the chronological
age, with a view to forensic identification, migration flow control, or assessment of dental …

XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

The use of digital medical images is increasing with advanced computational power that has
immensely contributed to develo** more sophisticated machine learning techniques …

Chronological age and biological sex estimation are two key tasks in a variety of
procedures, including human identification and migration control. Issues such as these have …

This study suggests a hybrid method based on ResNet50 and vision transformer (ViT) in an
age estimation model. To this end, panoramic radiographs are used for learning by …

Automatic age estimation has garnered significant interest among researchers because of
its potential practical uses. The current systematic review was undertaken to critically …

Background Dental age is crucial for treatment planning in pediatric and orthodontic
dentistry. Dental age calculation methods can be categorized into morphological …

Objectives This study aimed to use all permanent teeth as the target and establish an
automated dental age estimation method across all developmental stages of permanent …

The analog methods used in the clinical assessment of the patient's chronological age are
subjective and characterized by low accuracy. When using those methods, there is a …

The aim of this systematic review is to analyze the literature to determine whether the
methods of artificial intelligence are effective in determining age in panoramic radiographs …