Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

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Assessment of Safety and Interference Issues of Radio Frequency Identification Devices in 0.3 Tesla Magnetic Resonance Imaging and Computed Tomography by M. Periyasamy, R. Dhanasekaran

“…The objective of this study was to evaluate two issues regarding magnetic resonance imaging (MRI) including device functionality and image artifacts for the presence of radio frequency identification devices (RFID) in association with 0.3 Tesla at 12.7 MHz MRI and computed tomography (CT) scanning. …”
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A Two-Phase Feature Selection Framework for Intrusion Detection System: Balancing Relevance and Computational Efficiency (2P-FSID) by C. Rajathi, Rukmani Panjanathan

“…In Phase 2, Shapley Additive Explanations (SHAP) values are computed to quantify each feature’s influence on classification performance. …”
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Predictive Time-Series Analysis of Single-Qubit Quantum Circuit Outcomes for a Superconducting Quantum Computer: Forecasting Error Patterns by Mohammadreza Saghafi, Lamine Mili

“…The analysis highlights intriguing behaviors within the dataset. Furthermore, we evaluate multiple time series prediction methods and determine that XGBoost (Extreme Gradient Boosting) outperforms other approaches, demonstrating its effectiveness in accurately predicting quantum computing outputs in subsequent runs.…”
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Improving Internal Combustion Engine Performance through Inlet Valve Geometry and Spray Angle Optimization: Computational Fluid Dynamics Study by Muhammad Ahsan, Mian Noman

“…These performance parameters were evaluated against the existing literature, enabling the identification of optimal configurations. …”
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Rheumatoid arthritis in real clinical practice. Results of the «Computer Terminals of Self-Assessment for Patients with Rheumatic Diseases» («TERMINAL-I») project by V. N. Amirdzhanova, E. Yu. Pogozheva, A. E. Karateev, R. R. Samigullina, O. B. Nesmeyanova, A. I. Kulikov, O. V. Antipova, E. V. Kryukova, I. G. Bannikova, I. M. Patrikeeva, A. I. Dubikov, R. G. Kamalova, I. B. Vinogradova, R. G. Mukhina, I. M. Marusenko

“…The investigation enrolled 976 RA patients from a cohort of patients in the TERMINAL-I multicenter study, who, when visiting a rheumatologist, independently assessed the disease activity and QOL using a computer system (the «Computer Terminals of SelfAssessment for Patients with Rheumatic Diseases» project). …”
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A systematic review and meta-analysis on the diagnostic accuracy of artificial intelligence and computer-aided diagnosis of lumbar prolapsed intervertebral disc by Sandeep Pattnaik, Manu Goyal, Rajneesh Kumar Gujral, Amit Mittal

“…Artificial intelligence (AI) and computer-aided diagnosis (CAD) techniques have the potential to revolutionise diagnosis by improving accuracy, efficiency, and objectivity. …”
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Integrating Positron Emission Tomography Combined with Computed Tomography Imaging into Advanced Radiation Therapy Planning: Clinical Applications, Innovations, and Challenges by Subhash Chand Kheruka, Anjali Jain, M. Sharjeel Usmani, Naema Al-Maymani, Noura Al-Makhmari, Huda Al-Saidi, Sana Al-Rashdi, Anas Al-Balushi, Vipin Jayakrishnan, Khulood Al-Riyami, Rashid Al-Sukaiti, Raza Sayani

“…Positron emission tomography combined with computed tomography (PET/CT) has revolutionized radiation oncology by merging functional and anatomical imaging to enhance tumor characterization, guide treatment precision, and support individualized patient care. …”
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EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis by Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang

“…Challenges such as class separability, noise resilience, and computational complexity. Aim: This study systematically evaluates various feature extraction methods used in MI-based BCIs, with a specific focus on their performance in binary and multi-class classification tasks. …”
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Phytochemical constituents, in vitro antibacterial activity, and computational studies of Sudanese Musa acuminate Colla fruit peel hydro-ethanol extract by Khider Wihad, Ali Abdalrahim M., Hago Salma, Alzain Abdulrahim A., Abdelgadir Abdelgadir A., Ahmed Areeg, Ahmed Elhadi M.

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Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach by Jonas Frenkel, Simone Kirst, Sandra Naumann, Martina Simon, Julian Sessner, Eileen Roesler, Linda Onnasch, Isabel Dziobek

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Computer‐Aided High Tibial Osteotomy—A Comparative Study of Commonly Used 3D Printing Technology and Navigation Application by Elvis Chun‐Sing Chui, Kyle Ka‐Kwan Mak, Randy Hin‐Ting Ng, Ericsson Chun‐Hai Fung, Mei‐Shuen Chan, Kai Yue, Lawrence Chun‐Man Lau, Clifford Long‐Fung Chan, Edmond Wing‐Fung Yau, Wei Zhao, Xiuyun Su, Jin Zhang, Jianglong Xu, Hongxun Sang, Guoxian Pei, Louis Wing‐Hoi Cheung, Sheung‐Wai Law, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung

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Diagnostic validity of lung ultrasonogram in comparison with high-resolution computed tomography in interstitial lung disease associated with connective tissue disease by P V Lisha, N Safreena Mohamed, T P Rajagopal, Rennis Davis, Thomas Vadakkan Devassy

“…Patients and Methods: Patients with connective tissue disorder and ILD diagnosed by HRCT were included and evaluated by physical examination, LUS, spirometry, and 6MWT. …”
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features by Haoru Wang MD, Ling He MD, Xin Chen MD, Shuang Ding MD, Mingye Xie MD, Jinhua Cai MD

“…Purpose To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning. …”
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Bronchoalveolar lavage affects thorax computed tomography of healthy and SARS-CoV-2 infected rhesus macaques (Macaca mulatta). by Annemiek Maaskant, Lisette Meijer, Zahra Fagrouch, Jaco Bakker, Leo van Geest, Dian G M Zijlmans, Babs E Verstrepen, Jan A M Langermans, Ernst J Verschoor, Marieke A Stammes

“…The current study investigated the effect and duration of BAL on computed tomography (CT) in both healthy and experimentally SARS-CoV-2-infected female rhesus macaques (Macaca mulatta). …”
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Computational insights into the anti-diabetic potential of Albizia antunesiana (Mimosaceae) metabolites: A molecular docking, drug-likeness and ADMET analysis by Bitwell Chibuye, Indra Sen Singh, Luke Chimuka, Mokgaetji Monyai, Maseka Kenneth Kakoma

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Fully automatic fossa ovalis segmentation from computed tomography images using deep neural network with atlas-based localization by Gakuto Aoyama, Toru Tanaka, Yukiteru Masuda, Naoki Matsuki, Ryo Ishikawa, Masahiko Asami, Kiyohide Satoh, Takuya Sakaguchi

“…This method was evaluated by five-fold cross validation using 215 CT images with manually annotated FO regions, and its segmentation accuracy was compared to two previously reported methods based on thinness of the IAS wall and on simple DNN. …”
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A novel computational model of swine ventricular myocyte reveals new insights into disease mechanisms and therapeutic approaches in Timothy Syndrome by Alessandro Trancuccio, Carmen Tarifa, Rossana Bongianino, Silvia G. Priori, Demetrio J. Santiago

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A Computational Thermo-Fluid Dynamics Simulation of Slot Jet Impingement Using a Generalized Two-Equation Turbulence Model by Antonio Mezzacapo, Rossella D’Addio, Giuliano De Stefano

“…In this study, a computational thermo-fluid dynamics simulation of a wide-slot jet impingement heating process is performed. …”
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Pharmacoeconomic Study on the Application of Magnetic Resonance Imaging with Gadoxetic Acid in Addition to Contrast-Enhanced Computed Tomography in Diagnosis of Hepatocellular Carc... by G. G. Kаrmаzаnovsky, A. A. Volobueva

“…Objective: to evaluate pharmacoeconomic advantages of the application of magnetic resonance imaging (MRI) with hepatobiliary-specific contrast agent – gadoxetic acid in addition to contrast-enhanced computed tomography (CT) in the diagnosis of hepatocellular carcinoma (HCC).Material and methods. …”
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