Showing 2,861 - 2,880 results of 3,099 for search '"Artificial intelligence"', query time: 0.08s Refine Results
  1. 2861

    Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

    Published 2024-01-01
    “…Future work, potentially utilizing artificial intelligence, may improve the validity and reliability of ICD codes used to document injuries.…”
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    Article
  2. 2862

    A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

    Published 2025-01-01
    “…Ultrasonography is the preferred method for imaging the soft tissues of the head and neck but is highly operator-dependent. Artificial intelligence, particularly deep learning-based segmentation models, has the potential to improve the accuracy and precision of ultrasound images. …”
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    Article
  3. 2863

    Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

    Published 2024
    “…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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    Thesis
  4. 2864

    A novel approach for target deconvolution from phenotype-based screening using knowledge graph by Xiaohong Wang, Meifang Zhang, Jianliang Xu, Xin Li, Jing Xiong, Haowei Cao, Fangkun Dou, Xue Zhai, Hua Sun

    Published 2025-01-01
    “…Abstract Deconvoluting drug targets is crucial in modern drug development, yet both traditional and artificial intelligence (AI)-driven methods face challenges in terms of completeness, accuracy, and efficiency. …”
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    Article
  5. 2865

    Association of C-Reactive Protein with Short-Term Outcomes in Spontaneous Intracerebral Hemorrhage Patients with or without Infection: From a Large-Scale Nationwide Longitudinal Re... by Du Y, Liu L, Kang K, Lin Y, Gu H, Bian L, Li Z, Zhao X

    Published 2025-01-01
    “…Yang Du,1,2 Lijun Liu,1,2 Kaijiang Kang,1,2 Yijun Lin,1,2 Hongqiu Gu,1,2 Liheng Bian,1,2 Zixiao Li,1,2 Xingquan Zhao1– 4 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People’s Republic of China; 3Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 4Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People’s Republic of ChinaCorrespondence: Xingquan Zhao; Zixiao Li, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 119 West Road, South 4th Ring, Fengtai District, Beijing, People’s Republic of China, 100070, Tel +86-10-59975835, Email lizixiao2008@hotmail.com; zxq@vip.163.comAim: To study the relationship between elevated C-reactive protein (CRP) levels, infection, and spontaneous intracerebral hemorrhage (ICH) outcomes.Methods: Patients were classified into four groups (Q1–Q4). …”
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    Article
  6. 2866

    Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

    Published 2025-04-01
    “…Facial emotion recognition (FER) is rapidly advancing, with significant applications in healthcare, human-computer interactions, and biometric security, driven by recent advances in artificial intelligence (AI), computer vision, and deep learning. …”
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    Article
  7. 2867

    Current Trends and Perspectives of Pressure Wire-Based Coronary Artery Bypass Grafting by Yoshiyuki Takami, Atsuo Maekawa, Koji Yamana, Kiyotoshi Akita, Kentaro Amano, Wakana Niwa, Kazuki Matsuhashi, Yasushi Takagi

    Published 2025-01-01
    “…Beyond the diagnostic phase, CTCA, augmented by automatic artificial intelligence, holds great potential for guiding therapeutic interventions in the future.…”
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    Article
  8. 2868

    Research Progress and Trends in Exercise Interventions for Mild Cognitive Impairment: A Bibliometric Visualization Analysis Using CiteSpace by Han Q, Kim SM

    Published 2025-01-01
    “…Qifeng Han,1 Sung Min Kim1– 4 1Department of Physical Education, Hanyang University, Seoul, Republic of Korea; 2Department of Sport Science, Hanyang University, Seoul, Republic of Korea; 3BK21 FOUR Human-Tech Convergence Program, Hanyang University, Seoul, Republic of Korea; 4Center for Artificial Intelligence Muscle, Hanyang University, Seoul, Republic of KoreaCorrespondence: Sung Min Kim, Department of Sport Science, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, Republic of Korea, Email minarthur@hanyang.ac.krPurpose: With the increasing global aging population, exercise interventions for mild cognitive impairment (MCI) have gained significant research attention. …”
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    Article
  9. 2869

    Technoeconomic Feasibility of Wind and Solar Generation for Off-Grid Hyperscale Data Centres by William Rollinson, Andrew Urquhart, Murray Thomson

    Published 2025-01-01
    “…As a global community our use of data is increasing exponentially with emerging technologies such as artificial intelligence (AI), leading to a vast increase in the energy demand for data centres worldwide. …”
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    Article
  10. 2870

    Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

    Published 2025-01-01
    “…Deep Neural Networks (DNNs) have been widely adopted in several advanced artificial intelligence applications due to their competitive accuracy to the human brain. …”
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    Article
  11. 2871

    Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

    Published 2025-01-01
    “…The ASHSC algorithm utilizes a two-stage on-demand strategy with mesh-based convolutional neural networks and generative artificial intelligence. The segmentation quality level (SQ-level)-based surveillance stage was evaluated using the area under the receiver operating curve, sensitivity, specificity, and positive predictive value. …”
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    Article
  12. 2872
  13. 2873

    ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia by Abhiram Thiriveedhi, Swetha Ghanta, Sujit Biswas, Ashok K. Pradhan

    Published 2025-01-01
    “…This article presents a new model, ALL-Net, for the detection of acute lymphoblastic leukemia (ALL) using a custom convolutional neural network (CNN) architecture and explainable Artificial Intelligence (XAI). A dataset consisting of 3,256 peripheral blood smear (PBS) images belonging to four classes—benign (hematogones), and the other three Early B, Pre-B, and Pro-B, which are subtypes of ALL, are utilized for training and evaluation. …”
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    Article
  14. 2874
  15. 2875

    A review on techno-economic analysis of lignocellulosic biorefinery producing biofuels and high-value products by Ronak Patel, T.S. Rajaraman, Paresh H. Rana, Nikita J. Ambegaonkar, Sanjay Patel

    Published 2025-01-01
    “…Finally, the role of policy mechanisms, Artificial Intelligence (AI) and other data-driven technologies are also discussed in the biorefinery context.…”
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    Article
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  18. 2878

    可穿戴设备在卒中风险预测及卒中后管理中的应用进展 Research Progress on the Application of Wearable Devices in Stroke Risk Prediction and Post-Stroke Management... by 吴雅婷1,魏宸铭1,桑振华1,陈乐1,梁怡凡1,武剑1,2,3 (WU Yating1, WEI Chenming1, SANG Zhenhua1, CHEN Le1, LIANG Yifan1, WU Jian1,2,3)

    Published 2025-01-01
    “…By integrating with health management platforms and artificial intelligence algorithms, wearable devices can significantly enhance the accuracy of risk assessment, optimize rehabilitation treatment plans, and thus improve the patients’ outcomes. …”
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    Article
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