Development and Validation of Machine Learning Models for Outcome Prediction in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment by Du S, Wu Y, Tao J, Shu L, Yan T, Xiao B, Lv S, Ye M, Gong Y, Zhu X, Hu P, Wu M

“…We further use Shapley Additive Explanations (SHAP) methods for the distribution of feature visualization based on the optimal models.Results: A total of 226 eligible patients with poor-grade aSAH undergoing EVT were enrolled, while 89 (39.4%) has a poor 12-month outcome. …”
Get full text

Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

“…This study demonstrates the effectiveness of combining Machine Learning (ML) techniques with dimensionality reduction methods to enhance risk stratification accuracy in cardiology. …”
Get full text

Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis by Mahreen Kiran, Ying Xie, Nasreen Anjum, Graham Ball, Barbara Pierscionek, Duncan Russell

“…It highlights the growing complexity of the field and identifies key trends, methodologies, and research gaps.MethodsA systematic methodology guided the literature selection process, starting with keyword identification using Term Frequency-Inverse Document Frequency (TF-IDF) and expert input. …”
Get full text

Development of positive behavior and mental toughness skills in young athletes by Eimantas Pocius

“…The aim of this dissertation is to reveal the characteristics of young athletes’ positive behavior and mental toughness skill development. Methods: The dissertation employed a mixed methods convergent design (one-phase design) research strategy (Creswell & Creswell, 2023). …”
Get full text

Clinical and economic constituents of the application of dexamethasone and tocilizumab in the therapy for severe conditions in patients with COVID-19 by O. V. Zhukova, A. L. Khokhlov

“…For the visualization of the clinical efficiency of the compared drugs, the authors applied beta-distribution. …”
Get full text

AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Recent artificial intelligence (AI) segmentation methods employing deep neural networks (DNNs) and transformers encounter computational efficiency challenges to balance the preservation of feature dependencies information with model efficiency, limiting their clinical applicability.MethodsThe anatomical structure recognition framework, MaskHybrid, was developed using a private dataset comprising 34,711 abdominal ultrasound images of 2,063 patients from CSMUH. …”
Get full text

Analysis of cognitive status of Alzheimer’s disease’s subjects and its association with biomarkers (amyloid beta and tau proteins) using NACC data by Vaghawan Prasad Ojha, Sheida Riahi, Richard Hunt Bobo, Seyedadel Moravveji, Lucien Meteumba, Shantia Yarahmadian

“…We utilized statistical techniques (ANOVA, Seive Plot, Logistic Regression) and visualization methods (Boxplot, Barplot, Violin Plot) to understand the relationships. …”
Get full text

Applying Augmented Reality to Convey Medical Knowledge on Osteoclasts to Users of a Serious Game: Vignette Experiment by Jascha Grübel, Julia Chatain, Claudio Schmid, Violaine Fayolle, Fabio Zünd, Reinhard Gruber, Bernd Stadlinger

“…While we could not confirm AR’s impact on visual tasks overall (H2b), we noted an interesting interaction between curiosity and visual task outcomes (H2c), as well as how game design influences student perception of the material (H2d). …”
Get full text

Economic Logistics Optimization in Fire and Rescue Services: A Case Study of the Slovak Fire and Rescue Service by Martina Mandlikova, Andrea Majlingova

“…<i>Objective</i>: The objective of this paper was to evaluate the structure, performance, and reform potential of the logistics system supporting HaZZ, with a focus on procurement efficiency, lifecycle costing, digital integration, and alignment with EU civil protection standards. <i>Methods</i>: A mixed-methods design was applied, comprising the following: (1) Institutional analysis of governance, budgeting, and legal mandates based on semi-structured expert interviews with HaZZ and the Ministry of Interior officers (<i>n</i> = 12); (2) comparative benchmarking with Germany, Austria, the Czech Republic, and the Netherlands; (3) financial analysis of national logistics expenditures (2019–2023) using Total Cost of Ownership (TCO) principles, completed with the visualization of cost trends and procurement price variance through original heat maps and time-series graphs. …”
Get full text

Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study by Xuan Zhou, Gangren Jian, Yuefang He, Yating Huang, Jie Zhang, Shengfang Wang, Yunxian Wang, Ruofei Zheng

“…A nomogram was built based on the predictors, and an internal evaluation was performed using bootstrap resampling methods. The model was also externally validated in this center. …”
Get full text

Driving innovations in cancer research through spatial metabolomics: a bibliometric review of trends and hotspot by Shupeng Chen, Yuzhe Zhang, Xiaojian Li, Ye Zhang, Yingjian Zeng

“…Despite its growing significance, a systematic and visualized analysis of spatial metabolomics in cancer research remains lacking, particularly in the integration of multi-omics data and the standardization of methodologies for comprehensive tumor metabolic mapping.ObjectivesThis study aims to conduct a bibliometric analysis to systematically evaluate the development trends, key contributors, research hotspots, and future directions of spatial metabolomics in cancer research.MethodsA bibliometric approach was employed using data retrieved from the Web of Science Core Collection. …”
Get full text

The Approximate Solutions of Three-Dimensional Diffusion and Wave Equations within Local Fractional Derivative Operator by Hassan Kamil Jassim

“…This method has Lagrange multiplier equal to minus one, which makes the calculations more easily. …”
Get full text

A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…To provide an overview of published works in tourism, we used the systematic mapping study method. Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
Get full text

Risk factors for long-term urination and sexual function impairment following laparoscopic resection of presacral lesions by Chen Lin, Zi-Yan Wang, Pei-Pei Wang, Kai-Wen Xu, Jiao-Lin Zhou, Hui-Zhong Qiu, Bin Wu

“…Methods: We conducted a retrospective review of female patients who underwent laparoscopic resection of presacral cysts between August 2012 and May 2020. …”
Get full text

Integrated analyses and a novel nomogram for the prediction of significant fibrosis in patients by Mengxin Lu, Shuai Tao, Xinyan Li, Qunling Yang, Cong Du, Weijia Lin, Shuangshuang Sun, Conglin Zhao, Neng Wang, Qiankun Hu, Yuxian Huang, Qiang Li, Yi Zhang, Liang Chen

“…Introduction and Objectives: This study aimed to explore the key genes involved in the pathophysiological process of liver fibrosis and develop a novel predictive model for noninvasive assessment of significant liver fibrosis patients. Patients and Methods: Differentially expressed genes (DEGs) were identified using the Limma package. …”
Get full text

DIAGNOSTIC VALUE OF ULTRASOUND COLOR DOPPLER MAPPING IN EARLY DETECTION OF BREAST CANCER by E. A. Busko, V. V. Semiglazov, A. V. Mishchenko, A. S. Shishova, V. O. Smirnova, E. V. Kostromina, A. V. Chernaya, A. S. Artemieva, P. V. Kryvorotko

“…The purpose of the study was to evaluate the diagnostic value of cDM in determining the type of vascularization of malignant and benign breast tumors, as well as to detect their statistically significant Doppler characteristics by comparing with histological findings. material and methods. From 2017 to 2019, a total of 277 women with complaints of breast lump or pain underwent ultrasound examination using cDM. …”
Get full text

A dual-reporter LDLR system integrating fluorescence and luminescence for understanding LDLR regulation and facilitating drug discovery by Peng Jiao, Peng Jiao, Peng Jiao, Peng Jiao, Na Yang, Na Yang, Qianfeng Jia, Baozhen Fan, Ke Feng, Ke Feng, Jian Yu, Shengtian Zhao, Shengtian Zhao, Shengtian Zhao

“…The dual-reporter system allows real-time visualization of LDLR expression via EGFP fluorescence and quantitative assessment through secreted Gluc activity. …”
Get full text

Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning by Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He

“…Abstract Background The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs. Materials and methods This study included a total of 483 participants (141 healthy controls and 342 patients with pPNs) from June 2022 and January 2024. …”
Get full text

Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…The dataset was then imported into a Jupyter notebook for further detailed analysis and visualization. An ensemble Machin learning algorithm using different classification models were implemented. …”
Get full text

Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development by Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Javier Gorricho, Mikel Galar, Mikel Galar, José Andonegui, José Andonegui

“…At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR screening program, referring to a second screening level (ophthalmologist) target patients.MethodsAfter collecting their requirements, HUN decided to develop a custom AI tool, called NaIA-RD, to assist their GPs in DR screening. …”
Get full text