Artificial intelligence (AI) is playing an ever-increasing role in radiology (more so in the adult
world than in pediatrics), to the extent that there are unfounded fears it will completely take …

Bone age is one of biological indicators of maturity used in clinical practice and it is a very
important parameter of a child's assessment, especially in paediatric endocrinology. The …

Three-dimensional convolutional neural networks (3D CNN) of artificial intelligence (AI) are
potent in image processing and recognition using deep learning to perform generative and …

Introduction Cone-beam computed tomography (CBCT) is an essential diagnostic tool in
oral radiology. Radiolucent periapical lesions (PALs) represent the most frequent jaw …

Background In recent years, there has been considerable research on the use of artificial
intelligence to estimate age and disease status from medical images. However, age …

Staging third molar development is commonly used for age assessment in sub-adults.
Current staging techniques are, at most, semi-automated and rely on manual interactions …

Age estimation is a crucial element of forensic medicine to assess the chronological age of
living individuals without or lacking valid legal documentation. Methods used in practice are …

This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is of …

Age estimation has attracted attention for its various medical applications. There are many
studies on human age estimation from biomedical images. However, there is no research …

Bone age assessments are a complicated and lengthy process, which are prone to inter-and
intra-observer variabilities. Despite the great demand for fully automated systems …