A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof... by José Pablo Martínez Barbero, Francisco Javier Pérez García, David López Cornejo, Marta García Cerezo, Paula María Jiménez Gutiérrez, Luis Balderas, Miguel Lastra, Antonio Arauzo-Azofra, José M. Benítez, Antonio Jesús Láinez Ramos-Bossini

“…These features were combined into a single dataset and 14 classification algorithms were evaluated with GroupKFold cross-validation (k = 4). …”
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Extended homogeneous field correction method based on oblique projection in OPM-MEG by Fulong Wang, Fuzhi Cao, Yujie Ma, Ruochen Zhao, Ruonan Wang, Nan An, Min Xiang, Dawei Wang, Xiaolin Ning

“…Subspace projection algorithms are widely used in MEG to suppress noise. …”
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A Novel Method for the Generation of Realistic Lung Nodules Visualized Under X-Ray Imaging by Ahmet Peker, Ayushi Sinha, Robert M. King, Jeffrey Minnaard, William van der Sterren, Torre Bydlon, Alexander A. Bankier, Matthew J. Gounis

“…Conclusions: Generated recommendations on the use of n-BCA and ethiodized oil can help establish a standard for the evaluation of new image-guided solutions and refinement of algorithms in phantom and animal studies with realistic nodules.…”
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Safety of infliximab and adalimumab in pediatric inflammatory bowel diseases: a disproportionality analysis from the FAERS database by Yanhong Deng, Shengying Shi, Senling Feng, Xiangping Tan, Yinling Wang, Jinjin Yin, Shaozhi Liu, Yuanmei Gao

“…Methods Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) algorithms were used to identify drug-related adverse events (AEs). …”
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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

“…Hence, there is a growing need for automated segmentation algorithms, particularly when these influence treatment planning. …”
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Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles by W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard

“…A VRE would also improve data management, metadata standardization, workflow reproducibility, and transferability of structure-from-motion algorithms and machine learning models such as random forests and convolutional neural networks. …”
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Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network by Zhaochen Yao, Yanjuan Li, Hao Fu, Jun Tian, Yang Zhou, Chee-Loong Chin, Chau-Khun Ma

“…Cracks and dents in concrete structures are core defects that threaten building safety, but the existing YOLO series algorithms face a huge bottleneck in complex engineering scenarios. …”
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Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO by Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Jiri Damborsky, Ondrej Slaby, David Bednar

“…Next-generation sequencing technology has created many new opportunities for clinical diagnostics, but it faces the challenge of functional annotation of identified mutations. Various algorithms have been developed to predict the impact of missense variants that influence oncogenic drivers. …”
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Multi-Omics and Experimental Validation Identify GPX7 and Glutathione-Associated Oxidative Stress as Potential Biomarkers in Ischemic Stroke by Tianzhi Li, Sijie Zhang, Jinshan He, Hongyan Li, Jingsong Kang

“…Multidimensional feature screening using unsupervised consensus clustering and a series of machine learning algorithms led to the identification of the signature gene <i>GPX7</i>. …”
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Detection of Wormhole Attack in Vehicular Ad-hoc Network over Real Map using Machine Learning Approach with Preventive Scheme by Shahjahan Ali, Parma Nand, Shailesh Tiwari

“…The collected data is pre-processed and the k-NN & Random Forest algorithms are applied on this data, to make the model such type so that it can memorize the wormhole attack. …”
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Diagnóstico y tratamiento de los trastornos de la presión intracraneal: Documento de consenso del Grupo de Estudio de Cefaleas de la Sociedad Española de Neurología by J. García-Ull, N. González-García, M. Torres-Ferrús, D. García-Azorín, I.F.J. Molina-Martínez, I. Beltrán-Blasco, S. Santos-Lasaosa, G. Latorre, A.B. Gago-Veiga, J.M. Láinez, J. Porta-Etessam, C. Nieves-Castellanos, A. Mínguez-Olaondo, A. López-Bravo, S. Quintas, N. Morollón, S. Díaz-Insa, R. Belvís, P. Irimia

“…Therefore, the Spanish Society of Neurology's Headache Study Group considered it necessary to prepare this consensus document with the inclusion of diagnostic and therapeutic algorithms to facilitate and improve their management in clinical practice.This document was created by a committee of experts of the Spanish Society of Neurology's Headache Study Group based on a systematic review of the literature, incorporating the experience of the participants, and establishing practical recommendations with levels of evidence and grades of recommendation.…”
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New Advances of the P-SBAS Approach for an Efficient Parallel Processing of Large Volumes of Full-Resolution Multitemporal DInSAR Interferograms by Manuela Bonano, Pasquale Striano, Muhammad Yasir, Sabatino Buonanno, Francesco Casu, Claudio De Luca, Adele Fusco, Yenni Lorena Belen Roa, Ivana Zinno, Maria Virelli, Michele Manunta, Riccardo Lanari

“…The starting point of the developed full-resolution parallel-SBAS (FR P-SBAS) technique involves some algorithmic extensions for improving the quality of the DInSAR time series to effectively analyze extended deformations and localized displacement phenomena, such as those affecting single buildings and infrastructures. …”
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Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model by Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy

“…In this study, single and ensemble machine learning (ML) algorithms are applied to the Indian Liver Patient Dataset (ILPD) dataset, and their results, without and with feature selection techniques, are compared between each other and to the existing studies. …”
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Masked Feature Modeling for Generative Self-Supervised Representation Learning of High-Resolution Remote Sensing Images by Shiyan Pang, Hanchun Hu, Zhiqi Zuo, Jia Chen, Xiangyun Hu

“…Extensive experiments involving main properties of the MFM for generative self-supervised learning, fine-tuning the MFM on the downstream semantic segmentation task, and comparisons with the other state-of-the-art generative self-supervised learning algorithms show that, through the combined advantages of the CNN and Transformer architectures, the proposed method has better feature extraction capability and higher accuracy on downstream tasks such as semantic segmentation.…”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…This study aimed to utilize multifaceted indicators to construct MASLD risk prediction machine learning models and explore the core factors within these models.MethodsMASLD risk prediction models were constructed based on seven machine learning algorithms using all variables, insulin-related variables, demographic characteristics variables, and other indicators, respectively. …”
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New Approach to Drug Delivery in Ophthalmological Practice: Development of Composite Ophthalmological Solution for Drug Loading of Soft Contact Lenses by D. K. Naplekov, E. T. Zhilyakova, A. Yu. Malyutina, A. V. Bondarev, N. B. Demina, O. O. Novikov, R. A. Abramovich

“…Also, the proposed manufacturing algorithms were proposed for drug loading ophthalmological solutions.Materials and methods. …”
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A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

“…Nevertheless, machine learning algorithms possess significant advantages in handling data complexity and nonlinearity. …”
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A review of interactions between irrigation and evapotranspiration by Ziyuan Gong, Fei Gao, Xinyu Chang, Tianqi Hu, Yaping Li

“…With the development of information technology, various RS techniques, learning algorithms, and models have been used to estimate ET and irrigation quantity. …”
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Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients by Kai-Di Wang, Ming-Jing Guan, Zi-Yang Bao, Zhe-Jin Shi, Hai-Hang Tong, Zun-Qiang Xiao, Lei Liang, Jun-Wei Liu, Guo-Liang Shen

“…Multiple machine learning algorithms were employed to develop predictive models. …”
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Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review by Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande

“…This survey will compare the study’s algorithms or frameworks on sensitivity, specificity, interpretability, computational efficiency, and clinical transnationality concerning early detection and monitoring progression. …”
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