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  1. 9921

    Mixed methods evaluation of the Getting it Right First Time programme in elective orthopaedic surgery in England: an analysis from the National Joint Registry and Hospital Episode... by Stephen Morris, James Mason, Rosalind Raine, Peter Martin, Naomi J Fulop, Elena Pizzo, Andrew Hutchings, Helen Barratt, Jean Ledger, Raj Mehta, Sarah Jasim, Fiona Aspinal, Rafael Gafoor

    Published 2022-06-01
    “…Objective To evaluate the impact of the ‘Getting it Right First Time’ (GIRFT) national improvement programme in orthopaedics, which started in 2012.Design Mixed-methods study comprising statistical analysis of linked national datasets (National Joint Registry; Hospital Episode Statistics; Patient-Reported Outcomes); economic analysis and qualitative case studies in six National Health Service (NHS) Trusts.Setting NHS elective orthopaedic surgery in England.Participants 736 088 patients who underwent primary hip or knee replacement at 126 NHS Trusts between 1 April 2009 and 31 March 2018, plus 50 NHS staff.Intervention Improvement bundle including ‘deep dive’ visits by senior clinician to NHS Trusts, informed by bespoke set of routine performance data, to discuss how improvements could be made locally.Main outcome measures Number of procedures conducted by low volume surgeons; use of uncemented hip implants in patients >65; arthroscopy in year prior to knee replacement; hospital length of stay; emergency readmissions within 30 days; revision surgery within 1 year; health-related quality of life and functional status.Results National trends demonstrated substantial improvements beginning prior to GIRFT. …”
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  2. 9922

    Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study by Anna Erenbourg, Tracie Barber, Vera Cecotti, Stefano Faiola, Ilaria Fantasia, Tamara Stampaljia, Hagai Avnet, Beata Radzymińska-Chruściel, Neama Meriki, Alec Welsh

    Published 2025-01-01
    “…After adjustments allowing for patient exclusions or incomplete datasets, a total of 330 healthy singleton pregnancies and 165 diagnosed with CHD will be recruited. …”
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  3. 9923

    Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

    Published 2025-01-01
    “…We begin with a design framework based on Federated Learning for Blockchain Integration where distributed datasets across blockchain nodes contribute to a global machine learning model but do not share raw data samples. …”
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  4. 9924

    Unveiling and validating biomarkers related to the IL-10 family in chronic sinusitis with nasal polyps: insights from transcriptomics and single-cell RNA sequencing analysis by Xinghong Liu, Yi Peng, Ling Guo, Weilan Xiong, Weijiang Liao, Jiangang Fan

    Published 2025-01-01
    “…IntroductionExtensive efforts have been made to explore members of the IL-10 family as potential therapeutic strategies for various diseases; however, their biological role in chronic rhinosinusitis with nasal polyps (CRSwNP) remains underexplored.MethodsGene expression datasets GSE136825, GSE179265, and GSE196169 were retrieved from the Gene Expression Omnibus (GEO) for analysis. …”
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  5. 9925

    Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets by Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu

    Published 2025-12-01
    “…This study integrated bioinformatics methods with experimental validation to explore the role of natural killer (NK) cells in AS.Methods Two microarray datasets, GSE25101 and GSE73754, were selected, and the scRNA-seq data were obtained from GSE194315 and Liu’s research. …”
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  6. 9926

    Gene content of seawater microbes is a strong predictor of water chemistry across the Great Barrier Reef by Marko Terzin, Steven J. Robbins, Sara C. Bell, Kim-Anh Lê Cao, Renee K. Gruber, Pedro R. Frade, Nicole S. Webster, Yun Kit Yeoh, David G. Bourne, Patrick W. Laffy

    Published 2025-01-01
    “…., benthic cover of corals and macroalgae, fish counts/biomass) and may be applicable to other large-scale reef metagenomics datasets beyond the GBR. Video Abstract…”
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  7. 9927

    Log odds of positive lymph nodes compared to positive lymph node ratio and number of positive lymph nodes in prognostic modeling for patients with NSCLC undergoing lobectomy or tot... by Qiming Huang, Shai Chen, Zhenjie Li, Longren Wu, Dongliang Yu, Linmin Xiong

    Published 2025-01-01
    “…The SHAP (SHapley Additive exPlanations) analysis of the XGBoost model demonstrated that the LODDS exhibited the highest SHAP values (0.25) for predicting overall survival in patients, consistently outperforming the LNR and the number of nPLN across both training and validation datasets.ConclusionsCompared to the nPLN and LNR staging systems, LODDS demonstrates superior prognostic power for patients with stage I–IIIA NSCLC undergoing lobectomy or pneumonectomy. …”
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  8. 9928

    Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

    Published 2025-03-01
    “…Our framework has been rigorously evaluated across diverse multimodal image pairs, including optical–optical, optical–SAR, and optical–hyperspectral datasets. Our algorithm has been compared with current state-of-the-art image registration methods, including traditional feature–based approaches such as DSOG, histogram of oriented phase congruency (HOPC), and radiation-variation insensitive feature transform (RIFT), as well as deep learning–based techniques such as Loftr and Superpoint. …”
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  9. 9929

    ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

    Published 2025-02-01
    “…Experimental results demonstrate the efficacy of our approach, achieving a recognition accuracy of 99.4% for facial paralysis and 81.36% for detecting affected regions on the YouTube Facial Palsy (YFP) and extended Cohn Kanade (CK+) datasets. These results not only highlight the effectiveness of our automatic recognition method compared to the latest techniques but also validate its potential for clinical applications. …”
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  10. 9930

    Enhancing predictive accuracy for urinary tract infections post-pediatric pyeloplasty with explainable AI: an ensemble TabNet approach by Hongyang Wang, Junpeng Ding, Shuochen Wang, Long Li, Jinqiu Song, Dongsheng Bai

    Published 2025-01-01
    “…This ensemble approach mitigates the dependency of machine learning models on feature engineering while addressing the issue of overfitting in deep learning-based models like TabNet, particularly in the context of small medical datasets. By improving prediction accuracy, this model supports proactive interventions, reduces postoperative infections and re-obstruction rates, enhances pyeloplasty outcomes, and alleviates health and economic burdens. …”
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  11. 9931

    Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy by Jian Cheng, Miaomiao Sun, Xiao Dong, Yang Yang, Xiaohan Qin, Xing Zhou, Yongcheng Fu, Yuanyuan Wang, Jingyue Wang, Da Zhang

    Published 2025-01-01
    “…Methods This study utilized clinical neuroblastoma samples from 20 patients and 1310 cases from four public datasets to investigate SLC1A5 expression, biological function, and prognostic significance. …”
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  12. 9932

    Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering by Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén

    Published 2023-01-01
    “…First, we excluded methods that were computationally too demanding for the large datasets from human total-body PET scanners. These criteria filtered out most of the commonly used approaches, leaving only two clustering methods, k-means and Gaussian mixture model (GMM), for further analyses. …”
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  13. 9933

    Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

    Published 2025-01-01
    “…Data procurement encompassed transcriptomic and clinical datasets from HCC patients, sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories. …”
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  14. 9934

    Conditional cash transfer program and child mortality: A cross-sectional analysis nested within the 100 Million Brazilian Cohort. by Dandara Ramos, Nívea B da Silva, Maria Yury Ichihara, Rosemeire L Fiaccone, Daniela Almeida, Samila Sena, Poliana Rebouças, Elzo Pereira Pinto Júnior, Enny S Paixão, Sanni Ali, Laura C Rodrigues, Maurício L Barreto

    Published 2021-09-01
    “…Through deterministic linkage with the BFP payroll datasets, and similarity linkage with the Brazilian Mortality Information System, 4,858,253 children were identified as beneficiaries (77%) and 1,451,113 (23%) were not. …”
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  15. 9935

    Systematic review and quantitative meta-analysis of age-dependent human T-lymphocyte homeostasis by Victoria Kulesh, Victoria Kulesh, Kirill Peskov, Kirill Peskov, Kirill Peskov, Gabriel Helmlinger, Gennady Bocharov, Gennady Bocharov, Gennady Bocharov

    Published 2025-01-01
    “…Our study introduces a quantitative description of the fundamental parameters characterizing the maintenance and evolution of T-cell subsets with age, based on a comprehensive integration of available organ-specific and systems-level flow cytometry datasets. Overall, it provides the most up-to-date view of physiological T-cell dynamics and its variance and may be used as a consistent reference for gaining further mechanistic understanding of the human immune status in health and disease.…”
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  16. 9936

    High-resolution mapping of global winter-triticeae crops using a sample-free identification method by Y. Fu, X. Chen, C. Song, X. Huang, J. Dong, Q. Peng, W. Yuan

    Published 2025-01-01
    “…Moreover, compared with the Cropland Data Layer (CDL) and EuroCrops datasets, the overall accuracy and <span class="inline-formula"><i>F</i><sub>1</sub></span> score in most regions of the United States and Europe were more than 80 % and 75 %, respectively. …”
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  17. 9937

    Genome skimming provides evidence to accept two new genera (Apiaceae) separated from the Peucedanum s.l. by Bo-Ni Song, Chang-Kun Liu, Chang-Kun Liu, Jiao-Jiao Deng, Wei-Yan Tan, Song-Dong Zhou, Xing-Jin He

    Published 2025-01-01
    “…Therefore, we conducted a comprehensive taxonomic revision of taxa within the polyphyletic Peucedanum s.l. genus in this study.MethodsWe used two molecular datasets (103 plastomes and 43 nrDNA sequences) generated by genome skimming to reconstructed a reliable phylogenetic framework with high support and resolution. …”
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  18. 9938

    Stochastic Modeling of Adaptive Trait Evolution in Phylogenetics: A Polynomial Regression and Approximate Bayesian Computation Approach by Dwueng-Chwuan Jhwueng, Chia-Hua Chang

    Published 2025-01-01
    “…We also plan to apply models to the empirical study using the two datasets: the longevity vs. fecundity in the Mediterranean nekton group, and the trophic niche breadth vs. body mass in carnivores in a European forest region.…”
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  19. 9939

    Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

    Published 2025-01-01
    “…Machine Learning (ML)-based approaches aim to overcome these limitations but encounter challenges related to scalability and adaptability due to their reliance on large labeled datasets and their limited alignment with the requirements of secure development teams. …”
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  20. 9940

    Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

    Published 2025-01-01
    “…We categorized bias mitigation approaches into four clusters: (1) modifying existing AI models or datasets, (2) sourcing data from electronic health records, (3) developing tools with a “human-in-the-loop” approach, and (4) identifying ethical principles for informed decision-making. …”
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