1,720,960 research outputs found
Artificial intelligence in rehabilitation: a living systematic mapping review - first release
INTRODUCTION: Artificial intelligence (AI) is revolutionizing many fields of science, including medicine, by enhancing diagnostic, therapeutic, and decision-making processes. However, understanding how AI can be truly useful in everyday clinical practice remains challenging. This living review systematically investigates current clinical applications of AI in the rehabilitation field, clarifies key concepts, and identifies knowledge gaps. EVIDENCE ACQUISITION: PubMed, Scopus, WOS/Embase, and PEDro were systematically searched from December 1, 2014, to December 1, 2024. Retrieved articles were independently screened by two reviewers, with a third reviewer resolving any disagreements. Extracted data (including bibliometric, clinical, and AI-related variables) were synthesized into a synoptic table using a semi-automated Python pipeline. Reporting adhered to PRISMA guidelines, and the review protocol was registered in the PROSPERO database (CRD420250622434). EVIDENCE SYNTHESIS: Of 4193 records identified, 240 studies applying AI for rehabilitative purposes met the inclusion criteria. Most studies focused on neurological (57.9%) and orthopedic (22.7%) rehabilitation, particularly involving stroke, Parkinson's disease, and amputation, with research activity mainly concentrated in China (24.6%) and the USA (16.7%). AI has been tested across all stages of the medical process, with a slight predominance in intervention (23.8%), followed by prognosis (17.5%), assessment (16.7%), diagnosis (12.9%), and monitoring (12.5%). It was frequently integrated with wearable sensors, robotic systems, and digital technologies, especially inertial measurement units, surface EMG, mobile apps and EEG. Most AI studies in rehabilitation used raw (37.9%) or tabular data (27.5%), with multimodal inputs in only 11.3%. Over half lacked a comparator (50.8%). Supervised learning (70.8%) and classical machine learning (43.8%) predominated, while external validation (5.8%) and explainability (10.2%) were rarely applied. CONCLUSIONS: AI applications in rehabilitation are rapidly expanding, particularly in neurological and orthopedic fields where data-driven and technology-assisted approaches prevail. While this progress is promising, current evidence remains largely based on supervised learning with small, single-type datasets, limited external validation, and scarce explainability, critical issues that must be addressed to enable reliable translation into clinical practice
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Effect of dual-task training on balance in patients with multiple sclerosis: A systematic review and meta-analysis
Objective: To evaluate the effects of dual-task training on static and dynamic balance in patients with multiple sclerosis. Data sources: PubMed/MEDLINE, EMBASE, Scopus, and PEDro databases were searched from inception to March 1, 2021. Methods: This study was conducted in agreement with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two reviewers assessed studies for inclusion and extracted data. We used the Physiotherapy Evidence Database scale to evaluate the methodological quality and the risk-of-bias. Randomized clinical trial data were pooled for the meta-analysis. The effect sizes and 95% confidence interval (CI) were calculated by random-effect models. Egger regression and Begg-Mazumdar rank correlation test were used for publication bias. Results: A total of 13 studies involving 584 patients (42.3 ± 9 years mean ± SD; 377 females) met the inclusion criteria for the systematic review, while nine were included in the meta-analysis. People who received dual-task training interventions showed significant improvements in the Timed Up & Go test 0.44 [(95% CI = 0.22; 0.65), P-value<0.001], and in the Berg Balance scale 0.46 [(95% CI = 0.07; 0.85), P-value = 0.02]. Low and moderate heterogeneity between the studies was found for the Timed Up & Go test and the Berg Balance scale, respectively. Conclusion: The findings from the current meta-analysis support dual-task training as a beneficial therapy for improving dynamic balance and functional mobility in patients with multiple sclerosis. The limited number of studies that investigated static balance performance after dual-task training do not currently allow us to draw a conclusion about any possible improvements in this ability
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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