Clinical impact of the Development of Communication Skills in Autism (DHACA) on the development of social skills in children with autism.

Globally, stroke ranks as the second leading cause of mortality and frequently induces lifelong disabilities, including motor, cognitive, linguistic, and psychological impairments []. Among these sequelae, poststroke cognitive impairment (PSCI) constitutes a prevalent and debilitating neurological complication. PSCI is clinically defined as a syndrome fulfilling diagnostic criteria for cognitive impairment manifesting within 6 months post stroke. Formal neuropsychological assessment at 3 to 6 months post stroke is typically required for diagnosis []. This condition manifests clinically as deficits in memory, language comprehension, perceptual processing, visuospatial reasoning, and executive functioning []. Despite advances in acute stroke management, PSCI persists as a highly prevalent and debilitating condition [], associated with elevated 5-year mortality and depression risks [], thereby substantially contributing to long-term disability and reduced quality of life []. Early identification and management of PSCI represent critical clinical priorities []. Conventional tools such as the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) exhibit limitations, including susceptibility to age, education, and emotional confounders, alongside significant time and resource requirements []. In recent years, mobile health (mHealth) technologies have shown great potential in enhancing the accessibility and scalability of medical assessments [-]. The integration of eye tracking into portable tablet devices allows for standardized, low-cost cognitive screening outside traditional clinical settings [,]. This approach aligns with growing emphasis on digital biomarkers and decentralized health care models, particularly in neurology and rehabilitation []. AI technology has gained substantial research interest owing to its objectivity and efficiency. AI-enhanced eye tracking quantitatively records ocular movements and gaze positions temporally and across task conditions. For target image projection and maintenance on the retinal fovea, coordinated eye movements are essential, assessed through saccadic, smooth pursuit, fixation, and visual search tasks []. As a noninvasive technique, eye tracking can identify cognitive impairment, monitor disease progression, and elucidate underlying cognitive processes []. Evidence suggests visual processing deficits may precede memory impairment in mild cognitive impairment (MCI), manifesting in altered eye movement patterns [,]. Patients with MCI frequently demonstrate elevated saccadic error rates, prolonged latency, and inverse correlations between erroneous saccade frequency and neuropsychological test performance []. In smooth pursuit tasks, patients with Alzheimer disease (AD) exhibit increased pursuit latency, reduced acceleration and gain, and frequent compensatory saccades correlating with cognitive decline [].