NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

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Evaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval by Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li

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Study of methods for extracting contours of objects on raster images of amber samples by Yu.O. Podchashynskyi, A.V. Ryzhuk

“…Also, these methods exclude subjective factors influencing decision-making. TVS can determine fine particles, various inclusions, cracks, and texture on the examined surface much better, using various methods and algorithms for contour detection and further processing of the obtained results. …”
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Real-time prediction of early concrete compressive strength using AI and hydration monitoring by Adam Marchewka, Patryk Ziolkowski, Sebastián García Galán

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Want a worry-free trip? Seeking the optimal travel paradigm in view of public-to-individual risk perception by Chunbing Bao, Yuqiao Hui, Zhen Zhang, Qinyue Zheng, Qingchun Meng

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Dynamic scaffolding: exploring the role of artificial intelligence in urban design education by Kin Wai Michael Siu, Jiayi Zou, Yijia Jiang, Zi Yang, Keren Zhang, Tianjiao Zhao

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Six Sigma model with implement SAPF to enhance power quality and product quality at induction heat treatment process by Minh Ly Duc, Petr Bilik, Radek Martinek

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Characterizing the Design of and Emerging Evidence for Health Care Organization–Based Lung Cancer Screening Interventions: A Systematic Review by Jennifer Elston Lafata, Katharine A. Rendle, Jocelyn V. Wainwright, Mary E. Cooley, Anil Vachani, Christine Neslund-Dudas, Michelle R. Odelberg, Liana Alcaro, Claire Staresinic, Gwen L. Alexander, Rebecca B. Carlson, Marilyn M. Schapira

“…Most studies ( n  = 33) evaluated educational interventions, typically in one-on-one settings. Studies assessed at either low or moderate/some risk of bias reported statistically significant findings in the domains of improved knowledge ( n  = 7) and other aspects of decision making ( n  = 8), such as perceived risk or decisional conflict. …”
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Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images by Jialin Shi, Ruolin Zhang, Zongyao Yang, Zhixian Chen, Zhixin Hao, Li Huo, Ji Wu, Qiang Sun, Yali Xu

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Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks by Zhiping Kang, Honglin Yu, Qingyu Xiong, Haibo Hu

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Clinical study of computerized tomography angiography and computerized tomography perfusion in severe traumatic brain injury by a multicenter retrospective study by Tiantian Liu, Wenxia Qian, Yan Jiang, Ying Yang, Yanping Ding

“…No reliable diagnostic tools exist to determine surgical indications or predict prognosis. To assess the clinical value of computed tomography angiography (CTA) and perfusion (CTP) in sTBI, and compare treatment efficacy based on traditional imaging versus CTA/CTP assessment. …”
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Optimizing Scheduled Train Service for Seaport-Hinterland Corridors: A Time-Space-State Network Approach by Yueyi Li, Xiaodong Zhang

“…However, existing challenges stem from fragmented decision-making across seaports, rail operators, and inland cities, leading to asynchronous routing and scheduling, suboptimal service coverage, and delays. …”
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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and... by Mahananda Malkauthekar, Avinash Gulve, Ratnadeep Deshmukh

“…To assess the efficacy of the optimized features, various classifiers, such as support vector machine (SVM), k-nearest neighbors (k-NN), and decision tree, were examined. …”
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Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients by Helen Zhang, Li Yang, Amanda Laguna, Jing Wu, Beiji Zou, Alireza Mohseni, Rajat S. Chandra, Tej I. Mehta, Hossam A. Zaki, Paul Zhang, Zhicheng Jiao, Ihab R. Kamel, Harrison X. Bai

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Diagnostic Performance of Publicly Available Large Language Models in Corneal Diseases: A Comparison with Human Specialists by Cheng Jiao, Erik Rosas, Hassan Asadigandomani, Mohammad Delsoz, Yeganeh Madadi, Hina Raja, Wuqaas M. Munir, Brendan Tamm, Shiva Mehravaran, Ali R. Djalilian, Siamak Yousefi, Mohammad Soleimani

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Eye-Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial Intelligence by Sahar Moradizeyveh, Ambreen Hanif, Sidong Liu, Yuankai Qi, Amin Beheshti, Antonio Di Ieva

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Construction of a clinical prediction model for overall survival and cancer-specific survival in malignant phyllode tumor of the breast based on the SEER database by Chenggeng Pan, Ruokuo Han, Senzhe Xia, Dingwei Fan, Daqing Yang, Haiguang Ma

“…Model performance was assessed using metrics such as the calibration curve, area under receiver operating characteristic curve (ROC), and decision curve analysis (DCA). …”
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CCL26 as a prognostic biomarker in hepatocellular carcinoma: integrating bioinformatics analysis, clinical validation, and radiomics score by Junjun Yan, Qiangming Liao, Yong Xie, Sihai Chen

“…The developed Rad-score provides an effective, non-invasive tool for predicting patient outcomes and enhancing clinical decision-making. This study not only highlights the prognostic role of CCL26 but also offers a novel approach for evaluating HCC patient prognosis through radiomics.…”
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A wireless sensor data-based coal mine gas monitoring algorithm with least squares support vector machines optimized by swarm intelligence techniques by Peng Chen, Yonghong Xie, Pei Jin, Dezheng Zhang

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Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Contro... by Nawaf L. Alsowait, Mohammed M. Al-Shomrani, Ismail Abdulrashid, Salihu S. Musa

“…We employ advanced mathematical techniques, including next-generation matrix methods, to accurately compute the reproduction number and assess outbreak transmissibility. …”
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