Showing 1,341 - 1,360 results of 1,936 for search 'algorithm of diagnostic research', query time: 0.16s Refine Results
  1. 1341

    Comparative Study of CNN Architectures for Brain Tumor Classification Using MRI: Exploring GradCAM for Visualizing CNN Focus by Areli Chinga, Wilden Bendezu, Antonio Angulo

    Published 2025-02-01
    “…By employing GradCAM, heat maps visually clarify the results. This research aims to improve the diagnosis of brain tumors using advanced CNN algorithms. …”
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    Article
  2. 1342

    AI-driven healthcare: Fairness in AI healthcare: A survey. by Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu, Wenbin Zhang

    Published 2025-05-01
    “…However, these advancements also introduce substantial ethical and fairness challenges, particularly related to biases in data and algorithms. These biases can lead to disparities in healthcare delivery, affecting diagnostic accuracy and treatment outcomes across different demographic groups. …”
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    Article
  3. 1343
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  5. 1345

    Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

    Published 2020-07-01
    “…Recent advances in the study of non-invasive diagnostic tools makes this area very promising for research in a clinical condition. …”
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    Article
  6. 1346
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  8. 1348

    Identification and Exploration of Immunity‐Related Genes and Natural Products for Alzheimer's Disease Based on Bioinformatics, Molecular Docking, and Molecular Dynamics by Pengpeng Liang, Yale Wang, Jiamin Liu, Hai Huang, Yue Li, Jinhua Kang, Guiyun Li, Hongyan Wu

    Published 2025-04-01
    “…ABSTRACT Background Recent research highlights the immune system's role in AD pathogenesis and promising prospects of natural compounds in treatment. …”
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    Article
  9. 1349

    Clinical manifestations of syncope in children depending on the type of cardiovascular disease by N. A. Tonkikh, S. A. Parshin

    Published 2013-08-01
    “…This indicates insufficient awareness level of physicians about differential diagnostic algorithm of pathology which cause syncope in children. …”
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    Article
  10. 1350

    The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study by Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

    Published 2024-12-01
    “… BackgroundThus far, considerable research has been focused on classifying a lesion as benign or malignant. …”
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    Article
  11. 1351

    Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

    Published 2025-05-01
    “…We sought to characterize injury history, diagnostic evaluations and treatments pursued by referring clinicians prior to orthopaedic evaluation of patellofemoral instability events. …”
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  12. 1352
  13. 1353

    A multicenter bladder cancer MRI dataset and baseline evaluation of federated learning in clinical application by Kangyang Cao, Yujian Zou, Chang Zhang, Weijing Zhang, Jie Zhang, Guojie Wang, Chu Zhang, Jiegeng Lyu, Yue Sun, Hongyuan Zhang, Bin Huang, Lei Deng, Shuiqing Yang, Jianpeng Li, Bingsheng Huang

    Published 2024-10-01
    “…Abstract Bladder cancer (BCa), as the most common malignant tumor of the urinary system, has received significant attention in research on the clinical application of artificial intelligence algorithms. …”
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    Article
  14. 1354

    Validation of the Turkish version of the Developmental Behavior Checklist: a comprehensive tool for assessing emotional, behavioral, and autism spectrum disorders in children and a... by Sabide Duygu Uygun, Merve Çıkılı Uytun, Hande Konşuk Ünlü, Ayşegül Akgül Doğru, Serpil Aktaş Altunay, Didem Behice Öztop, Birim Günay Kılıç, Kerim Munir

    Published 2025-04-01
    “…IntroductionThe Developmental Behavior Checklist (DBC) is a standardized tool for evaluating emotional and behavioral concerns in children and adolescents with intellectual disabilities (ID) in clinical and research settings. This study aims to validate the Turkish versions of the DBC autism screening algorithm (ASA), parent (P) and teacher (T) forms.MethodsParents and teachers of 312 children and adolescents aged 4–17 with ID completed the Turkish versions of the DBC forms and the Strengths and Difficulties Questionnaire (SDQ). …”
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  15. 1355
  16. 1356

    Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

    Published 2024-01-01
    “…COVID-19, the disease induced by the virus, causes severe respiratory complications, necessitating advanced diagnostic tools for early detection. Recent research indicates the potential of radiographic imaging in unravelling critical insights into the characteristics of this formidable pathogen. …”
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    Article
  17. 1357

    Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

    Published 2025-08-01
    “…Results Eighty-three DE-NRGs were identified and mainly correlated with multiple periodontitis-related pathways. Then, a diagnostic NRG signature based on 7-hub NRGs (LPAR3, CXCR4, F3, MAPK7, KCNN3, SYK, and HIF1A) was constructed using two different machine learning algorithms. …”
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    Article
  18. 1358

    Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

    Published 2024-11-01
    “…Addressing the escalating demand for precise diagnostics, this research focuses on the challenges of multi-class segmentation in MRI. …”
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    Article
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    Cervical cancer demystified: exploring epidemiology, risk factors, screening, treatment modalities, preventive measures, and the role of artificial intelligence by N. Mohammad, M. Khan, M. Maqsood, A. H. K. Naseeb

    Published 2025-05-01
    “…AI-driven technologies, including deep learning algorithms and machine learning models, are emerging as valuable tools in cervical cancer detection, risk assessment, and treatment planning. …”
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    Article