APPLICATION OF TELEMEDICINE TECHNOLOGIES IN THE DIAGNOSIS OF AUTISM SPECTRUM DISORDERS IN CHILDREN: A NARRATIVE REVIEW.

This review looked at using technology to diagnose autism in children remotely, like through video calls or online tools. The researchers found that these remote methods work well and are accurate for identifying autism. Using technology for diagnosis became more common during COVID-19 and can help children get diagnosed earlier, which means they can start getting help sooner.

This narrative review examined telemedicine technologies for diagnosing autism spectrum disorders (ASD) in children, analyzing studies from 2013-2024 across multiple databases. The review found that remote diagnostic tools, including screening instruments, assessment scales, and structured diagnostic procedures, are well-represented across various countries and demonstrate high specificity and sensitivity. The widespread adoption of these technologies during the COVID-19 pandemic highlighted their potential for early ASD detection. The authors suggest that telemedicine diagnostic methods could improve the timeliness and effectiveness of medical and therapeutic interventions by facilitating earlier identification of autism in children.

Telemedicine diagnostic tools offer promise for improving access to ASD diagnosis, particularly in remote areas or during restrictions like COVID-19. The high accuracy reported suggests these methods could be integrated into standard practice to enable earlier detection and intervention, though systematic evaluation is needed.

As a narrative review, this study lacks systematic methodology for study selection and quality assessment. No sample size is reported, and the specific diagnostic accuracy metrics are not provided. The review's descriptive approach limits the strength of conclusions about telemedicine effectiveness.

The application of telemedicine technologies in providing psychiatric care to children with autism spectrum disorders (ASD) became widespread during the COVID-19 pandemic. This review aims to describe the types, structure, and features of tools used for the remote diagnosis of ASDs in children, based on contemporary scientific literature and our own experience. We conducted a descriptive review of scientific studies published from January 2013 to December 2024. Works presented in the electronic databases PubMed, Web of Science, and eLibrary were analyzed.

Descriptive analysis was used to summarize the obtained data. The analysis convincingly demonstrates a sufficient representation of remote tools for screening, assessment scales, and structured diagnostic procedures for ASD across various countries, exhibiting high levels of specificity and sensitivity. The use of telemedicine diagnostic methods in clinical practice contributes to the early detection of ASDs, potentially enhancing the timeliness and effectiveness of medical and correctional interventions.