Algorithm 1. The proposed algorithm for the overview of reviews.

Set the search query to: “(assistive technology [Title/Abstract]) AND ((artificial intelligence [Title/Abstract]) OR (machine learning [Title/Abstract]) OR (deep learn-ing[Title/Abstract]) OR (neural network [Title/Abstract]) OR (ANN [Title/Abstract]) OR (AI [Title/Abstract]) OR (GANN [Title/Abstract]) OR (CNN [Title/Abstract]))” Conduct a targeted search on Pubmed and Scopus using the search query from step 1. Select studies published in peer-reviewed journals that focus on the field. Priority is given to the most recent reviews, particularly when they incorporate and critically assess previous studies on the same topic. This approach ensures that the selection reflects the most updated and comprehensive synthesis of the available evidence, reducing redundancy and highlighting the most current advancements in the field. When multiple reviews exist on a given subject, preference is given to those that provide a broader analysis, integrate findings from earlier works, and offer new perspectives or insights, while maintaining scientific rigor and methodological soundness. For each study, evaluate the following parameters: N1: Is the rationale for the study in the introduction clear? N2: Is the design of the work appropriate? N3: Are the methods described clearly? N4: Are the results presented clearly? N5: Are the conclusions based and justified by the results? N6: Did the authors disclose all the conflicts of interest? Assign a graded score to parameters N1–N5, ranging from 1 (minimum) to 5 (maximum). For parameter N6, assign a binary assessment of “Yes” or “No” to indicate if the authors disclosed all the conflicts of interest. Preselect studies that meet the following criteria: Parameter N6 must be “Yes”. Parameters N1–N5 must have a score not lower than 3. Include the preselected studies in the overview. From the process of selection, the following review studies were identified [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39]. The scoring output is reported in the Supplementary Material.