Personalized Training via Serious Game to Improve Daily Living Skills in Pediatric Patients With Autism Spectrum Disorder.

The majority of people with Autism Spectrum Disorder (ASD) exhibit difficulties in social communication and behavior, which hinder their learning capability, amid others. Among technological solutions for people with ASD, serious games are frequently used to enhance learning of specific skills and instructional contents. However, because of heterogeneity in applications and game design, few studies have investigated their use in training daily activities.

A Multidisciplinary Telerehabilitation Approach for Supporting Social Interaction in Autism Spectrum Disorder Families: An Italian Digital Platform in Response to COVID-19.

Due to its complexity and high variability in symptomology, autism spectrum disorder (ASD) requires a coordinated and multidisciplinary intervention to better support the different programs over time and to promote social interactions in all contexts of life. Telemedicine can offer a valuable contribution in this regard, providing low-cost and portable applications. In this paper, we presented an Italian project, , which aimed to foster collaboration and information sharing between ASD families, health services, and schools.

Automated search of control points in surface-based morphometry.

Cortical surface-based morphometry is based on a semi-automated analysis of structural MRI images. In FreeSurfer, a widespread tool for surface-based analyses, a visual check of gray-white matter borders is followed by the manual placement of control points to drive the topological correction (editing) of segmented data. A novel algorithm combining radial sampling and machine learning is presented for the automated control point search (ACPS).

Assessment of Standardised Uptake Values in PET Imaging Using Different Software Packages.

Background: This study investigated whether the follow-up by means of positron emission tomography with computed tomography (PET/CT) is reliable when using different software packages for image reviewing.

Methodology: This study explored the influence of software on patient follow up by analysing images acquired by means of PET/CT equipment. Images were analysed using three software packages.

Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.

Computer systems for Electrocardiogram (ECG) analysis support the clinician in tedious tasks (e.g., Holter ECG monitored in Intensive Care Units) or in prompt detection of dangerous events (e.