AI Medical Compendium Journal:
The Journal of forensic odonto-stomatology

Showing 1 to 4 of 4 articles

Artificial intelligence in age and sex determination using maxillofacial radiographs: A systematic review.

The Journal of forensic odonto-stomatology
In the past few years, there has been an enormous increase in the application of artificial intelligence and its adoption in multiple fields, including healthcare. Forensic medicine and forensic odontology have tremendous scope for development using ...

Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.

The Journal of forensic odonto-stomatology
BACKGROUND: The utilization of segmentation method using volumetric data in adults dental age estimation (DAE) from cone-beam computed tomography (CBCT) was further expanded by using current 5-Part Tooth Segmentation (SG) method. Additionally, superv...

Artificial intelligence in forensic medicine and forensic dentistry.

The Journal of forensic odonto-stomatology
This review article aims to highlight the current possibilities for applying Artificial Intelligence in modern forensic medicine and forensic dentistry and present the advantages and disadvantages of its use. For this purpose, the relevant academic l...

An automated technique to stage lower third molar development on panoramic radiographs for age estimation: a pilot study.

The Journal of forensic odonto-stomatology
BACKGROUND: Automated methods to evaluate growth of hand and wrist bones on radiographs and magnetic resonance imaging have been developed. They can be applied to estimate age in children and subadults. Automated methods require the software to (1) r...