## 1 _Eiditorial_  
New Digital Technologies for Diagnosis and Rehabilitation of Neurodevelopmental Disorders  
[PERSON] 1,2\({}^{\copyright}\), [PERSON] 1,3 and [PERSON] 1,*(r)  
In recent years, partly due to the SARS-CoV-2 pandemic, the use of new technologies in clinical activity has increased. Due to the complexity of neurodevelopmental disorders (NDDs) and of their assessment, treatment technology can play a relevant and sometimes crucial role. On one hand, tele-health applications allow for the assessment of several cognitive skills without requiring children to frequently and repeatedly access clinical services. On the other hand, new technological developments can also offer completely new approaches to in-person assessment and rehabilitation. The aim of this Special Issue is to offer an updated overview of the multidisciplinary work on new technological solutions for the assessment of cognitive skills in children with NDDs, and their empowerment, allowing for flexible and yet highly accurate and reliable management of their clinical needs. The ten studies collected here provide new, interesting perspectives on the role of new technologies in the assessment and treatment of children with different NDDs. The contribution of [PERSON] and colleagues [1] does not directly address the use of technology in assessment or treatment but, rather, focuses on the role of scientometric research methods applied to the collection of information about specific pathological conditions. This rather new technique exploits digital technology to create profiles of the pathologies that may guide diagnostic processes. As described in the article, the goal of scientometrics is to explore the numerical aspects of generating, disseminating, and using scientific information in order to better understand the mechanisms governing scientific research on a given topic in a given period and may provide deeper insight into the social aspects of scientific enterprises. The authors apply scientometric techniques to the study of pragmatic language impairments. They highlight the importance of gathering data from multiple sources and including a diverse range of scientometric indicators in order to generate more detailed and informative insights. Such an approach could ensure that scientometric studies are more comprehensive and reliable and may further help in identifying knowledge gaps and supporting evidence-based decision making within the scientific and clinical communities. Four studies explore the use of digital technology in assessment procedures; among these studies, three specifically address the challenges of tele-assessment. [PERSON] et al. [2] present a new tool for the tele-assessment of executive functions (TeleFE) in children aged 6-13. More precisely, the authors compare the remote and in-person modality of TeleFE, showing no significant effect of the assessment modality. The paper further addresses the advantages and limitations of tele-assessment procedures, listing among their shortcomings (i) the difficulty of using them with children under 6-7 years and (ii) the need to monitor the child's behavior during the remote test in order to be able to immediately detect their difficulty and support them in facing it. The use of questionnaires as additional, integrative measures is also supported. In the study by [PERSON] colleagues [3], a new web-based platform called MuLiMi was designed and implemented for the early identification of the risk of developmental language disorders (DLDs) in bilingual children through a battery of tests administered (either remotely or in person) in the child's L1 and L2, selected according to specific clinical markers in each language. The results showed that the scores obtained on MuLiMi screening tasks were significantly associated with those obtained on standardized language tests and could reliably contribute to DLD risk identification.