Age estimation through sternal fusion and costal cartilage ossification using MSCT in a Croatian population: model development and application.

This study aimed to test age-related changes in sternal fusion and sternal-rib cartilage ossification on multi-slice computed tomography (MSCT) images of the Croatian population. The additional aim was to develop models to estimate age and provide an interface for the model's application and validation. This retrospective study was conducted on 144 MSCT images of the sternal region, and the developed models were tested on 36 MSCT images.

Developing a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.

Recent advances in artificial intelligence (AI) and machine learning (ML) applications have elevated accomplishments in various scientific fields, primarily those that benefit the economy and society. Contemporary threats, such as armed conflicts, natural and man-made disasters, and illegal immigration, often require fast and innovative but reliable identification aids, in which forensic anthropology has a significant role. However, forensic anthropology has not yet exploited new scientific advances but instead relies on traditionally used methods.

Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.

This study aimed to develop image-analysis-based classification models for distinguishing individuals younger and older than 30 using the medial clavicle. We extracted 2D images of the medial clavicle from multi-slice computed tomography (MSCT) scans from Clinical Hospital Center Split (n = 204). A sample was divided into a training (164 images) and testing (40 images) dataset.

The "t" time: Investigating handedness through strokes and slopes.

This study investigated the stroke and slope characteristics in left-handed and right-handed handwriting. Stroke (letters t, f, đ, and H) and slope (letters t, f, l, d, and g) directions were analyzed on in-house samples (n = 64), revealing statistically significant differences (p ≤ 0.05) between the groups.