A cone beam computed tomographic analysis of the greater palatine foramen in a cohort of Sri Lankans by Manil C.N. Fonseka, P.V.Kalani S. Hettiarachchi, Rasika M. Jayasinghe, Ruwan D. Jayasinghe, C. Deepthi Nanayakkara

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A comparative analysis of sphenoid and frontal sinuses using cone beam computed tomography for sex determination by Junaid Ahmed, Namrata, Nanditha Sujir, Nandita Shenoy, Srikant Natarajan, Archana Muralidharan, Ashwin C. Shetty

“…Objectives: This study aimed to evaluate linear measurements of the frontal sinus (FS) and sphenoid sinus (SS) for sex identification on cone beam computed tomography (CBCT) images. …”
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Risk of neurologic deficit in medially breached pedicle screws assessed by computed tomography: a systematic review by Rahmad Mulyadi, Witantra Dhamar Hutami, Kevin Dilian Suganda, Dhiya Farah Khalisha

“…Pedicle screws are commonly used for vertebral instrumentation, and a postoperative computed tomography (CT) scan is used to evaluate their position within the pedicle. …”
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Computed tomography liver volumetry in living donor liver transplantation: influence of the slice thickness on the volume calculation by Tooba Fatima, Muhammad Salman Rafique, Sana Kundi, Tahir Malik, Faryal Ijaz, Sahar Zulfiqar

“… Objective: To evaluate the effect of slice thickness on multidetector computed tomography-based preoperative liver volumetry, and to compare the time consumed during volumetry between thin and thick slices. …”
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Radiomics Signatures Based on Computed Tomography for Noninvasive Prediction of CXCL10 Expression and Prognosis in Ovarian Cancer by Xiaohua Wang, Yuanyuan Xing, Xuan Zhou, Chunhui Wang, Shuyu Han, Sufen Zhao

“…Aims We aimed to develop and identify radiomics models according to computed tomography (CT) for preoperative prediction of CXCL10 expression and prognosis in patients with OC. …”
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Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework by Xinyuan Xiang, Jiayue Li, Yan Yi, Yining Wang, Sixing Yin, Xiaohe Chen

“…Objective: This study aims to develop an unsupervised denoising framework for low-dose coronary computed tomography (CT) angiography (LDCTA), which reduces noise while preserving vascular structures. …”
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Urban Heat Mitigation in a Tropical Climate: A Computer Simulation-Based Study in Townsville, Australia by Silvia G. Tavares, Majed Abuseif, Karine Dupré

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Mixing temperature optimization and modification mechanism of medical masks modified asphalt: Insights from computational chemistry by Heyang Ding, Hongren Gong, Lin Cong

“…Binding modes in MMA were determined using binding sites exploration, evaluating the energy composition of each binding mode through quantum chemistry (QC). …”
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Preoperative computed tomography guided coil versus suture hook-wire localization for multiple pulmonary nodules by Yue Dou, Hai-Hong Song, Yi-Bing Shi, Yong-Guang Gao, Sheng-Jie Bai

“…Abstract Background Computed tomography (CT)-guided insertion of coil and suture hook-wire (SHW) insertion is commonly used for preoperative localization of multiple pulmonary nodules (PNs). …”
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Machine learning-based feature selection for ultra-high-dimensional survival data: a computational approach by Nahid Salma, Majid Khan Majahar Ali, Raja Aqib Shamim

“… Ultra-high-dimensional (UHD) survival data presents significant computational challenges in biomedical research, particularly in Renal Cell Carcinoma (RCC), where genomic complexity complicates risk assessment. …”
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Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

“…In this study, comprehensive approximate Bayesian computation (ABC) technique is explored, and develop for an innovative model. …”
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Clinical Application of Artificial Intelligence-Based Computed Tomography Analysis of Myosteatosis in Localized Renal Cell Carcinoma by Byeong Jin Kang, Kyung Hwan Kim, Seung Baek Hong, Nam Kyung Lee, Suk Kim, Sihwan Kim, Hong Koo Ha

“…However, the prognostic impact of myosteatosis on renal cell carcinoma (RCC) remains poorly understood. This study evaluated the predictive value of myosteatosis based on an artificial intelligence (AI)-driven computed tomography (CT) analysis in patients with localized RCC who underwent partial nephrectomy. …”
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Optimizing Scan Range in Computed Tomography of Kidneys, Ureters, and Bladder: A Retrospective Study on Reducing Overscanning by Ali Bin Owien, Khaled Alenazi, Ahmad Abanomy, Mansour Almanaa, Mohammad Alarifi, Haitham Alahmad

“…<i>Background and Objectives</i>: Computed tomography of the kidneys, ureters, and bladder (CT KUB) is essential for evaluating urinary stones but also exposes patients to significant radiation. …”
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Tablet computer-based cognitive training for visuomotor integration in children with developmental delay: a pilot study by Jee Hyun Suh, Soo Jeong Han, Sun Ah Choi, Hyesung Yang, Sihyun Park

“…This pilot study aimed to evaluate the effects of tablet computer-based cognitive training on the VMI in children with DD. …”
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Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial by Dian Zhu, Jianan Zhao, Tong Wu, Beiyao Zhu, Mingxuan Wang, Ting Han

“…ObjectiveThis study aims to evaluate the impact of a CV–graded exercise intervention application over a 6-week period on clinical outcomes in patients with KOA . …”
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Development of optimised protocols for paediatric whole-body computed tomography examinations: a figure-of-merit approach by Jacob Leonard Ago, Stephen Inkoom, Benard Ohene-Botwe, Alise Larsen, Ingerd Skaaret Berg

“…Abstract Background Whole-body computed tomography (WBCT) technique involves higher radiation doses, resulting in increased stochastic health risks, especially when used for paediatric patients. …”
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Novel indazole Schiff base metal chelates as potential antifungal agents: synthesis, characterization, and computational analysis by Kamal El-Baradie, Yusif S. El-Sayed, Nadia El-Wakiel, Basma M. Salem, Asmaa El-Nagar

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The impact of brain computed tomography metadata on the performance of diagnostic artificial intelligence services: a pilot study by A. N. Khoruzhaya, D. V. Kuligovskiy, Yu. A. Vasilev

“…The aim of the study is to evaluate the impact of metadata added to the training dataset on the performance of an artificial intelligence system aimed at working with diagnostic brain images. …”
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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…Vision transformers, with their self-attention mechanisms, offer a global perspective, yet demand extensive data and computational resources, making them less adaptable for the often limited medical imaging datasets. …”
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In Vivo and Computational Studies on Sitagliptin’s Neuroprotective Role in Type 2 Diabetes Mellitus: Implications for Alzheimer’s Disease by Vasudevan Mani, Minhajul Arfeen

“…Methods: T2DM was induced in rats using nicotinamide (NICO) and streptozotocin (STZ), and biomarkers of AD and DM-linked enzymes, inflammation, oxidative stress, and apoptosis were evaluated in the brain. Computational studies supported the in vivo findings. …”
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