Unlocking the potential of digital pathology: Novel baselines for compression by Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Gőtz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein

Get full text

Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

Get full text

Risk prediction models for permanence of temporary stoma after radical surgery of rectal cancer: a systematic review by Wenjing Tan, Shiyin Cai, Juanqin Wu, Wenke Wu, Shan Wang, Yaqiu Li, Lulu Liu, Liping Tang, Ying Cao

“…In order to improve the accuracy of clinical predictions and inform clinical decision-making, future research should improve study design and reporting standards, as well as build and verify a prediction model that is highly applicable to real-world clinical demands and has a low risk of bias. …”
Get full text

UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation by Fei Deng, Shaohui Yang, Bin Wang, Xiujun Dong, Siyuan Tian

Get full text

A novel deep learning approach for investigating liquid fuel injection in combustion system by Syed Azeem Inam, Abdullah Ayub Khan, Noor Ahmed, Tehseen Mazhar, Tariq Shahzad, Sunawar Khan, Mamoon M. Saeed, Habib Hamam

Get full text

Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…A number of pre-processing and data augmentation methods have also been assessed and adjusted with regard to computing time and performance. …”
Get full text

Exploring the effects of journal article features: Implications for automated prediction of scholarly impact by Abramo Giovanni, D’Angelo Ciriaco Andrea, Grilli Leonardo

Get full text

Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects by Mohsen Dehghanpour Abyaneh, Parviz Narimani, Mohammad Sadegh Javadi, Marzieh Golabchi, Samareh Attarsharghi, Mohammadjafar Hadad

Get full text

Digital Interventions for Cognitive Dysfunction in Patients With Stroke: Systematic Review and Meta-Analysis by Chen Wang, Min Liu

“…ObjectiveThis study aimed to evaluate the efficacy of various digital interventions in improving poststroke cognitive function and provide evidence-based support for clinical decision-making. MethodsA systematic search was conducted across PubMed, Web of Science, Cochrane Library, Scopus, Embase, and CNKI databases from their inception to January 2025, with no restrictions on language or publication year. …”
Get full text

Evaluation of SURUS: a named entity recognition NLP system to extract knowledge from interventional study records by Casper Peeters, Koen Vijverberg, Marianne Pouwer, Bart Westerman, Maikel Boot, Suzan Verberne

Get full text

A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets by Eonyong Han, Hwijun Kwon, Inuk Jung

“…Currently, there is a lack of generalized guidelines for making decisions in multi-omics study design (MOSD), such as selecting an appropriate number of samples and features, type of preprocessing and integration for robust analysis results. …”
Get full text

Decomposition of Neutrosophic Zero-divisor graph by Balakrishnan A, Kanchana M, Said Broumi, Thirugnanasambandam K

“…The application of Multi-Criteria Decision-Making (MCDM) methodologies offers a structured and systematic approach to estimating student performance based on diverse and interdependent criteria. …”
Get full text

Advancing general ecosystem models (GEMs): Towards a mechanistic understanding of the biosphere in the light of the Anthropocene by Joachim Paul Töpper, Selwyn Hoeks, Florian Hartig, Anders Kolstad, Marlee A. Tucker, Jesamine Bartlett, Kim Magnus Bærum, Joseph Chipperfield, Michael Harfoot, Mark Antonius Jan Huijbregts, Jens‐Christian Svenning

“…As managers and policymakers urgently need good information on nature values and human impacts on them for policy design and decision‐making, they have much to gain from GEMs, which allow understanding current and predicting future outcomes of human actions on biodiversity and ecosystem functioning. …”
Get full text

A nomogram for predicting early thrombolytic efficacy in stroke patients by Chen Lou, Dongjuan Xu

“…The model’s discriminatory capacity was assessed by computing the area under the curve. In addition, the model’s calibration analysis and decision curve analysis were performed.ResultsUsing multivariate logistic regression and LASSO regression techniques, five variables were chosen. …”
Get full text

Cross-Company Data Sharing Using Distributed Analytics by Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra Geisler

“…Decision making in modern supply chain management relies heavily on data-driven decision support. …”
Get full text

Metaverse and Digital Twins in the Age of AI and Extended Reality by Ming Tang, Mikhail Nikolaenko, Ahmad Alrefai, Aayush Kumar

“…While DTs function as mirrored models of real-world systems—integrating IoT, BIM, and real-time analytics to support decision-making—Metaverses are typically fictional, immersive, multi-user environments shaped by social, cultural, and speculative narratives. …”
Get full text

Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma by Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang

“…The area under the receiver operating characteristic curve (AUC values), accuracy, sensitivity, and specificity were assessed for model performance evaluation. Decision curve analysis was conducted to evaluate the clinical net benefits. …”
Get full text

Research on the Evaluation of Urban Green Transportation Development Level in Guangzhou Under the Promotion of New Energy Vehicles by Yanlong Dong, Fanlong Zeng, Huaping Sun

“…Finally, the extended Combined Compromise Solution (CoCoSo) method is used to calculate the UGTDL, avoiding the compensatory issues in the traditional decision-making methods. The proposed approach is applied to assess the UGTDL in Guangzhou from 2020 to 2023. …”
Get full text

A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis by Jingxiang Sun, Xiaoming Xi, Mengying Wang, Menghan Liu, Xiaodong Zhang, Haiyan Qiu, Youxin Zhang, Taian Fu, Yanan Du, Wanqing Ren, Dawei Wang, Guang Zhang

“…In conclusion, these deep learning models show strong diagnostic potential for both breast mass classification and ALNM prediction, offering a valuable tool for improving clinical decision-making. …”
Get full text

Automatic collateral quantification in acute ischemic stroke using U2-net by Qingqing Lu, Qingqing Lu, Hongyi Chen, Junyan Fu, Xiaodong Zheng, Yiren Xu, Yuning Pan

“…The qCS aligns well with vCS and demonstrates the feasibility of automated collateral assessment, which may enhance diagnostic accuracy and therapeutic decision-making.…”
Get full text