Preoperative CT attenuation value classification assesses cage subsidence risk in 112 OLIF surgery cases by Wanyan Chen, Guangye Zhu, Zefeng Song, Xingda Chen, Riwei Tan, Guibo Liang, Zelin Zhou, Rueishiuan Jiang, Hui Ren, De Liang, Jingjing Tang, Xiaobing Jiang

“…This study aims to evaluate the feasibility of using CT attenuation value classification to predict cage subsidence. …”
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Lead implantation in the late activation zone of the left ventricle determined by preoperative noninvasive mapping to improve the efficacy of cardiac resynchronization therapy by V. V. Stepanova, S. V. Zubarev, V. A. Marinin, M. A. Savelyeva, D. S. Lebedev

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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Our SSR-UNet model overcomes these challenges by efficiently balancing computational load and feature extraction capabilities. …”
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Voxel Size and Field of View Influence on Periodontal Bone Assessment Using Four CBCT Systems: An Experimental Ex Vivo Analysis by Victória Geisa Brito de Oliveira, Polyane Mazucatto Queiroz, Alessandra Rocha Simões, Mônica Ghislaine Oliveira Alves, Maria Aparecida Neves Jardini, André Luiz Ferreira Costa, Sérgio Lucio Pereira de Castro Lopes

“…Objective: This ex vivo study aimed to evaluate the influence of different acquisition protocols, combining voxel size and field of view (FOV), across four cone-beam computed tomography (CBCT) systems, on the accuracy of alveolar bone level measurements for periodontal assessment. …”
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Feasibility study of intravascular pulsed electric field ablation for the treatment of cardiac arrhythmias by Zhen Wang, Zhen Wang, Yunhao Li, Ming Liang, Ming Liang, Jingyang Sun, Jie Zhang, Lisheng Xu, Yaling Han, Yaling Han

“…Therefore, this study aimed to explore endovascular catheter-based ablation using computational modeling to assess the electric field and temperature distributions during the procedure.MethodsA three-dimensional computer model of the ablation catheter and heart was developed. …”
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Real-Time Artificial Intelligence-Assisted Colonoscopy and the Effect of Endoscopist Experience on Polyp Detection Rates at a Tertiary Referral Center by Isaac Seow-En

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Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT by Xia Ding, Wei Xu, Yan Xu, Yongchuang Zhang, Huaxiao Xu, Lin Guo, Lei Li

“…Purpose To develop and test a transformer model utilizing dual-energy computed tomography (DECT) for predicting LNM in patients with PDAC. …”
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Presentation, treatment, and outcomes in patients with spontaneous isolated celiac artery dissection by Xinyang Zhang, Feng Zhu, Liqiang Zhang, Chao Guo, Chunting Li, Dan Shang

“…The aim of this study is to review our institution’s experience in evaluating, treating, and determining outcomes for patients with SICAD. …”
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New Enzymatic Targets for Organophosphorus Compounds by E. N. Efremenko, A. G. Aslanli, I. V. Lyagin

“…The purpose of this work was to use computer modeling methods to evaluate the possible binding of various OPC to the catalytic centers of these enzymes instead of a cofactor, as well as similar interactions of decarboxylases (DC) with OPC when the active centers of DC already contain a built-in cofactor. …”
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The value of 18F-AlF-NOTATATE PET/CT in restaging high-risk neuroblastoma after chemotherapy by Han Wang, Han Wang, Di Zuo, Fei Zheng, Yingying Sun, Yuxuan Liu, Hao Yang, Jingfu Wang, Xiaorong Sun

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The predictive value and model establishment of body composition in the long-term prognosis of patients after rectal cancer surgery by LIU Shuo, LU Yun, HU Jilin, YANG Wenchang, ZHAO Rizhi, XU Wenda, YANG Hanyu, LU Zechen, MA Zheng, DU Zhaolin, GAO Yunzhi, GAO Yuan

“…Inclusion criteria: ① Age>18 years; ② Preoperative colonoscopy and pathological diagnosis of colorectal cancer; ③ Complete surgical resection; ④ Abdominal computed tomography (CT) scan 1 month before surgery. …”
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One-Time Programmable Memory for Ultra-Low Power ANN Inference Accelerator With Security Against Thermal Fault Injection by Shreyas Deshmukh, Ankit Bende, Diti Sanghai, Vivek Saraswat, Anmol Biswas, Abhishek Kadam, Shubham Patil, Ajay Kumar Singh, Veeresh Deshpande, Udayan Ganguly

“…Memory technologies for in-memory computing (IMC) based neural network (NN) operations in edge devices face two primary challenges. …”
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Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning by ZHANG Di, WU Yi, XU Yu

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Comparative assessment of arterial stiffness and endothelial dysfunction during treatment with fixed combinations of antihypertensive drugs in patients with arterial hypertension a... by Inara А. Khakuasheva, Murat A. Umetov, Janneta M. Urusbieva, Alena Kh. Abukova, Liana A. Didanova

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Case Report: Surgical treatment of type B aortic dissection in an adult with double aortic arch by Chong Luo, Longrong Bian, Weitao Liang, Zhong Wu

“…Based on a comprehensive preoperative evaluation of the imaging and the patient's clinical history, a thoracic endovascular aortic repair (TEVAR) procedure was performed. …”
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Multi-Objective Ant Colony Optimization (MOACO) Approach for Multi-Document Text Summarization by Murali Krishna Muddada, Jayavani Vankara, Sekharamahanti S. Nandini, Girija Rani Karetla, Kaparapu Sowjanya Naidu

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LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization by Ilayda Yaman, Guoda Tian, Erik Tegler, Jens Gulin, Nikhil Challa, Fredrik Tufvesson, Ove Edfors, Kalle Astrom, Steffen Malkowsky, Liang Liu

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Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields by Kostas Ordoumpozanis, George A Papakostas

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Development of a method for estimating wall thinning tendency due to flow-accelerated corrosion in tee joint piping by Shun WATANABE, Ryo MORITA

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Numerical and Experimental Analysis of Thermal Stratification in Locally Heated Residential Spaces by Víctor Tuninetti, Bastián Ales, Tomás Mora Chandía

“…A comparative evaluation of turbulence models (k-ε and k-ω SST) and equations of state (Soave–Redlich–Kwong and Peng–Robinson) identified the k-ω SST model with the Soave–Redlich–Kwong equation as the most accurate and computationally efficient combination for capturing temperature gradients and achieving rapid convergence. …”
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