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At least 19 recordsLinked to original sources
PubMed2026

Effectiveness of artificial intelligence in nursing simulation education: A systematic review, meta-analysis and bibliometric visualization analysis.

OBJECTIVES: To synthesize the roles and core functions of AI in nursing simulation education for nursing students via systematic review, quantitatively evaluate its effects on students' knowledge and skill outcomes through meta-analysis, and map the research landscape and development trends of this field through bibliometric visualization analysis. DESIGN: Systematic review, meta-analysis and bibliometric visualization analysis. DATA SOURCES: Eight electronic databases: PubMed, Web of Science, MEDLINE, ERIC, Academic Search Complete, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Chinese Science and Technology Journal Database (VIP) were employed to search studies from the time of construction to 16 December 2025. REVIEW METHODS: Studies meeting the inclusion criteria were screened. The revised Cochrane Risk of Bias tool (ROB 2) and Joanna Briggs Institute (JBI) critical appraisal checklists were used for quality assessment. Meta-analysis was performed with Review Manager 5.4, and bibliometric visualization analysis was conducted using VOSviewer 1.6.20 and Bibliometrix (based on R4.4.3). RESULTS: A total of 61 studies were included. AI primarily played two roles in nursing simulation education: peer-type new subject (n = 24) and direct mediator (n = 22). Meta-analysis showed that AI interventions significantly improved nursing students' knowledge (SMD = 1.49, 95% CI [0.55,2.43], p = 0.002) and skills (SMD = 0.66, 95% CI [0.02,1.31], p = 0.04). Bibliometric analysis identified that the United States of America and China were the two main contributing countries in this field, and the key motor themes included generative artificial intelligence, virtual patients, and geriatric care. CONCLUSIONS: AI exerts positive effects on nursing students' knowledge acquisition and skill enhancement in simulation education, with peer-type new subject and direct mediator as the dominant roles. Future research should focus on expanding AI applications in multi-specialty simulation scenarios, activating the data-driven value of machine learning, and strengthening international collaboration and standardization construction, so as to promote the sustainable development of AI-integrated nursing simulation education.

Humans↗
PubMed1992

Effects of training in visual discrimination after one year: visual analysis of volleyball skills.

Although the effects of specialized training in visual analysis of skills are well documented, whether the effects are lasting is not. The purpose of the present study was to analyze the effect a visual skills training program in volleyball had on participants one year after the completion of a training intervention. Subjects received either traditional performance instruction supplemented with visual training or traditional performance instruction in volleyball only. All subjects remaining in the teacher education program from a previous study were given a visual test on diagnosing errors in three different volleyball skills (the forearm pass, the overhead pass, and the overhead serve). Subjects exposed to visual training remained significantly better at diagnosing errors for the three volleyball skills one year later as compared to those subjects who had not received visual training.

Adult↗
PubMed2026

BRIDGE: an interactive application for multi-omics data analysis, visualization and integration.

SUMMARY: BRIDGE is a Shiny-based application that provides an accessible, modular platform for individual and integrative multi-omics analysis. Using an independent SQLite database backend, it offers a local, private, and user-friendly environment that requires no prior computational expertise. The application supports proteomics, phospho-proteomics, and RNA-seq analyses through a comprehensive suite of visualization and analytical modules, together with an integrated multi-omics analysis pipeline. Built-in caching and asynchronous processing improve responsiveness, enabling efficient exploration, analysis, and visualization of multi-omics datasets on moderate hardware. AVAILABILITY AND IMPLEMENTATION: BRIDGE is implemented in R using Shiny and is freely available as a Docker container at https://ghcr.io/paulilab/bridge. A public demonstration server with example datasets is available at https://bridge.imp.ac.at. Code and datasets are also available at https://github.com/paulilab/BRIDGE and under DOI: https://doi.org/10.5281/zenodo.20215824.

Multiomics↗
PubMed1992

Flow visualization analysis in a model of artery-graft anastomosis.

Flow characteristics near the end-to-end anastomosis of vascular graft were studied in model tubes by flow visualization techniques. Artery and vascular graft were modelled by an elastic tube fabricated from an elastomeric polymer and a rigid plastic tube, respectively. Anastomotic models were made by connecting these two tubes, which had compliance mismatch at their anastomoses. These model tubes were installed into a mock circulatory loop and flow was visualized using hydrogen bubbles and aluminum powder as the tracer. Flow disturbances including flow separation and eddies were observed near the modelled distal anastomosis (graft-to-artery anastomosis). Peak values of the wall shear rate were high in the proximal anastomotic area (artery-to-graft anastomosis) and low in the distal region. These phenomena were enhanced in the models with increased compliance mismatch. The local abnormal flow observed in the anastomotic zone might cause thrombus formation and subintimal hyperplasia. To improve the patency in small-calibered arterial grafts, it is important to match their compliance to that of natural arteries.

Anastomosis, Surgical↗
PubMed1976

Hemispheric differences in the visual analysis of the verbal and non-verbal material in children.

Five years old children, who could not read, and the same children at the aged of 7, who already knew letters, were used as subjects. A visual procedure involved presentation of single letters or a pair of letters randomly to the left or right of a central fixation point. Reaction time and number of correct identifications, showed by pressing a key, were indicators of the perception of letters. The children of five identified the letters with equal correctness, whether they were addressed to the right or to the left hemisphere, whereas the children of seven showed left hemisphere superiority.

Age Factors↗
PubMed1992

[Automatic (computer-assisted) EEG analysis in comparison with visual EEG analysis in patients following minor cranio-cerebral trauma (a follow-up study)].

The study was designed to examine the clinical applicability and use of computer-assisted EEG-analysis in comparison to visual EEG-analysis in patients with minor head injuries. For this in 31 patients the following examinations were performed within the first 24 hours, one, three and eight weeks after traumatization: EEG, neurological examination and standardized evaluation of subjective complaints. The EEG was analysed visually as well as computer-assisted. The results were compared to the neurological findings and subjective complaints. Reversible posttraumatic EEG-changes were observed in 50% of all patients. The results of computer-analysis and visual analysis were equivalent in respect to baseline-activity (as one of the main characteristic EEG-features). Furthermore, based on computer-assisted analysis a discriminant function is provided, which is of diagnostic and prognostic value in the single patient. We conclude that the computer-assisted EEG-analysis can be a useful alternative in EEG-routine diagnosis after minor head injuries.

Adolescent↗
PubMed2025

APAV: An advanced pangenome analysis and visualization toolkit.

Traditional pangenome analysis focuses on gene presence/absence variations (gene PAVs). However, the current methods for gene PAV analysis are insensitive to detect small but valuable mutations within gene regions, and they overlook variations in intergenic regions. Additionally, the visual inspection of PAVs is an important but time-consuming step for pangenome analysis and result interpretation. To address these issues, we present APAV, an advanced toolkit designed for comprehensive PAV analysis and visualization. It integrates gene element-level PAV analysis and provides PAV analysis for arbitrary given regions in a genome. The resulted PAV profile can be visualized and investigated interactively with reports in HTML format, enabling researchers to conveniently verify sequencing read depth, target region coverage, and intervals of absence for each PAV. Furthermore, APAV offers various subsequent analysis and visualization functions based on the PAV profile table, including basic statistics, sample clustering, genome size estimation, and phenotype association analysis. We demonstrated the capability of APAV with pangenome analysis of tumor genomes and rice genomes. Performing PAV analysis at the element level not only provides more accurate information about the variations but also uncovers a larger number of variations for the phenotype-genotype association studies. In the rice genome analysis, we identified over twenty thousand distributed genes and more than fifty thousand distributed genetic elements. In the tumor genome analysis, element-level analysis revealed approximately three times as many phenotype-related genes as gene-level analysis. This indicates that altering the PAV unit from genes to smaller segments or elements can lead to more biological insights.

Software↗
PubMed1992

[Visual and computer evaluation of diazepam-induced EEG changes in epilepsy for localization of epileptogenic lesion].

Diazepam-induced EEG changes were analyzed both visually and by computer in epilepsy for localization of epileptogenic lesion. The results demonstrated that changes in beta spectral were diminished in 11/24 or 15/25 cases, but regionally increased in 3/24 or 3/25 patients overlying the epileptogenic lesion or area of EEG abnormalities. Diazepam-induced delta spectral power was usually increased (9/24), but occasionally focally reduced (3/24) over the lesion. The percentage of positive findings for localization was 38% with visual analysis and 46% with spectral analysis in beta spectral power, 38% in delta spectral power, and 67% with the analysis in combined beta with delta, and 83% with four independent tests. Spectral analysis was more sensitive than visual analysis, and it was a useful supplement to visual analysis, to general EEG evaluation, and to CT. Finally, the study emphasized that a localizing diagnosis to define the epileptogenic lesion should be based on the combination of a multitude of independent tests.

Adolescent↗
PubMed1992

Analysis of data in idiographic research. Issues and methods.

Time-series and single-subject designs are being advocated for use in rehabilitation research to document the effectiveness of therapeutic intervention procedures. The argument is made that these designs are practitioner-oriented and practice-based. Acceptance and application of single-subject procedures by rehabilitation researchers will depend on the development of reliable and accurate methods of data analysis. Previous research suggests that traditional visual analysis of graphed data is unreliable and that quantitative supplements to visual analysis should be included in single-subject investigations. The advantages and limitations of two commonly advocated supplements to visual analysis are examined. The two supplemental procedures are the split-middle method of trend estimation and the resistant trend line. One advantage of the resistant trend line is that it does not make the assumption of a linear pattern in single-subject data. The argument is made that the resistant trend line is the preferred method and should be selected over the more commonly used split-middle method of trend estimation. The advantages and limitations of other quantitative procedures are briefly examined.

Analysis of Variance↗
PubMed1979

Electroencephalographic quantification by time domain analysis in normal 7--15-year-old children.

Automatic EEG analysis was performed on 239 apparently healthy school age children. The children were classed in 3 age groups: (1) average age of 7; (2) average age of 11; (3) average age of 15. A time analysis method, comparable to classical visual analysis, permitted quantification of the records. The mean amplitude, frequency and percentage time for alpha and theta rhythms were determined for each subject for fronto-central and centro-occipital derivations bilaterally. Records were performed during periods of rest with eyes open and eyes closed. During hyperventilation, records were taken with eyes closed. The normal ranges of parameters were determined by calculating their means and standard deviations, for each age group under each recording condition. Delta and beta rhythm values were not calculated, because of their rarity in this apparently normal sample. The precision obtained by automatic analysis could not have been obtained by means of classical visual analysis. The present findings suggest that the statistical analysis of well-defined groups of normal and pathological children could be of significant value.

Adolescent↗
PubMed1992

Comparison of angiographic center and local site analysis of PTCA results in a multicenter angioplasty-restenosis trial. The M Heart Group.

We compared three methods of coronary stenosis (S) sizing in a multihospital PTCA restenosis trial: visual analysis by independent observers, single point caliper measurements, and quantitative coronary angiography (QCA). Cine films from 50 patients were submitted from the clinical site to the quantitative angiographic center, where visual analysis and computer quantitation were performed. Regression analysis revealed a correlation coefficient of .857 for caliper vs. QCA (p less than .0001) and .876 for visual observation vs. QCA (p less than .0001). No significant differences were found between any of the 3 methods for pre- or post-PTCA stenosis values. However, QCA yielded smaller PTCA changes in stenosis severity than either caliper or visual observation (p less than .05). Both caliper and visual methods correlated well with QCA in assessing stenosis size pre- and post-PTCA. Trained observers can visually assess lesion severity with accuracy approaching QCA. QCA is likely to be less expensive when compared to visual analysis by three experienced observers and should be the method used for estimating the results of PTCA in clinical trials.

Adrenal Cortex Hormones↗
PubMed1992

Weighting according to location in computer-assisted glaucoma visual field analysis.

In recent years several aids for automated interpretation of visual field data have been suggested. We believed that incorporation of thorough knowledge of normal visual field variability would allow improvements in the performance of such aids since more attention would be paid to field results in areas with low physiological variability. Two visual field models for classification of fields in glaucoma based on comparisons of sensitivity values in the upper and lower hemifields and on analysis of test point clusters with diminished sensitivity were compared. Both models were constructed using logistic regression analysis in 101 normal eyes and 101 eyes with glaucoma. The first, more traditional model assumed Gaussian distributions of deviations from age-corrected normal thresholds and constant variability across the field (non-weighted model). The second model took into account empirically determined variability of pointwise threshold results and of cluster volumes in various visual field regions (weighted model). The two models were subsequently tested on an independent material of 163 normal eyes and 76 eyes with glaucoma. The weighted model gave significantly better classification of the fields in both materials. Accounting for physiological threshold variability can offer significant advantages in the construction of perimetric analysis aids for detection of glaucoma.

Adult↗