Showing 8,141 - 8,160 results of 8,179 for search '"diagnostics"', query time: 0.09s Refine Results
  1. 8141

    Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study by Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu

    Published 2025-02-01
    “…MethodsThis cross-sectional study tested GPT-4V, GPT-4, and ChatGPT-3.5 Turbo on a total of 227 multiple-choice questions with images from USMLE Step 1 (n=19), Step 2 clinical knowledge (n=14), Step 3 (n=18), the Diagnostic Radiology Qualifying Core Exam (DRQCE) (n=26), and AMBOSS question banks (n=150). …”
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  2. 8142

    Subclinical Plasmodium spp. Infections in a Community Setting in Bangui, Central African Republic by Nzoumbou-Boko R, Denissio Morissi Nalingbo MCI, Yambiyo BM, Detol R, Moussa ERF, Nalinga D, Namsenei-Dankpea LJVDLG, Manirakiza A, Ayong L, Boum II Y

    Published 2025-01-01
    “…Proportions of positive tests for malaria parasites were determined by combining the results of antigen-based malaria rapid diagnostic test (mRDT), thick blood smear microscopy, and polymerase chain reaction (PCR).Results: A total of 638 participants (mean age, 26.44 years (range, [1– 75] years) with a sex ratio (M/F) of 1.22) were tested for malaria using all three detection methods. …”
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  3. 8143

    ATP1B3 may promote glioma proliferation and migration through MAPK/NF-KB signaling pathway by Qikang Yan, Quan Sun, Yan Feng, Qingyun Hu, Jinling Zhu

    Published 2025-02-01
    “…As a result, the ATP1B3 gene might be a biological target for treatment and a possible neurotumor diagnostic.…”
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  4. 8144
  5. 8145

    THE ORGANIZATION WORKS TO IMPROVE THE CLINICAL AND ECONOMIC OUTCOMES OF CARE FOR PROSTATE CANCER by O. I. Apolikhin, A. V. Sivkov, I. V. Chernishov, M. I. Katibov, O. V. Zolotukhin, I. A. Shaderkin, S. A. Leonov, D. A. Vojtko, M. Y. Prosyannikov

    Published 2015-04-01
    “…Then the patient is directed to the second stage of inter-regional urology center (ITC), whose task in the diagnostic phase is to verify the diagnosis.    In case of confirmation of the diagnosis by an urologist of ITC there was created the interactive consultation on the basis of remote Advisory portal Nethealth.ru together with leading research Institute of urology and regional urology center they identified the clinical significance of the disease and subsequent treatment strategy. …”
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  6. 8146

    Soluble and cell-based markers of immune checkpoint inhibitor-associated nephritis by Sandra M Herrmann, Riley Fadden, Ryan J Sullivan, Kerry L Reynolds, Harish Seethapathy, Meghan E Sise, Shruti Gupta, Alexandra-Chloe Villani, Qiyu Wang, Daiana Moreno, Destiny Harden, R Neal Smith, Ivy A Rosales, Robert B Colvin, Sarah Chute, Lynn D Cornell, Nancy J Yang, Sara Barmettler, Sophia Wells, Jocelyn Farmer

    Published 2023-01-01
    “…A sIL-2R cut-off point of 1.75-fold ULN was highly diagnostic of ICI-nephritis (area under the curve >96%) when compared with either ICI-treated or hemodynamic AKI controls. …”
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  7. 8147

    Application of lacrimal gland ultrasonography in the evaluation of chronic ocular graft-versus-host-disease by Mingxia Zhong, Siyuan Liu, Jinghan Luo, Qin Zhang, Zhou Yang, Shanshan Zhang

    Published 2025-02-01
    “…Patients were categorized into groups according to the International Chronic oGVHD (ICCGVHD) consensus group diagnostic criteria or the 2005 National Institutes of Health (NIH) classification criteria for Chronic GVHD. …”
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  8. 8148

    Age-related changes in brain signal variability in autism spectrum disorder by Priyanka Sigar, Nicholas Kathrein, Elijah Gragas, Lauren Kupis, Lucina Q. Uddin, Jason S. Nomi

    Published 2025-02-01
    “…RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. …”
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  9. 8149

    TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

    Published 2025-01-01
    “…Weilang Wang,1,* Qi Zhang,2,* Ying Cui,1,* Shuhang Zhang,1 Binrong Li,1 Tianyi Xia,1 Yang Song,3 Shuwei Zhou,1 Feng Ye,4 Wenbo Xiao,5 Kun Cao,6 Yuan Chi,7 Jinrong Qu,8 Guofeng Zhou,9,10 Zhao Chen,11 Teng Zhang,12 Xunjun Chen,13 Shenghong Ju,1 Yuan-Cheng Wang1 1Department of Radiology, Zhongda Hospital, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, School of Medicine, Southeast University, Nanjing, 210009, People’s Republic of China; 2Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People’s Republic of China; 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, People’s Republic of China; 4Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People’s Republic of China; 6Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China; 7Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 8Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, People’s Republic of China; 9Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 10Shanghai Institute of Medical Imaging, Shanghai, People’s Republic of China; 11Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 12Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 13Department of Radiology, The People’s Hospital of Xuyi County, Huaian, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuan-Cheng Wang, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing, Jiangsu, 210009, People’s Republic of China, Tel +086 25 83272121, Fax +086 25 83311083, Email yuancheng_wang@seu.edu.cnPurpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. …”
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  10. 8150

    Survey on the Status and Training Demands of Capabilities for Diagnosing and Treating Common Diseases of Primary Care General Practitioners in Hunan Province by LI Lingqi, GAO Yinyan, ZHANG Yuqin, SUN Dingkui, WU Xinyin, ZHANG Weiru

    Published 2025-02-01
    “…Additionally, 77.2% (260/337) of participants lacked sufficient knowledge of clinical practice guidelines; 90.8% (306/337) of participants rarely consulted guidelines when facing decision-making difficulties, mainly because they felt guidelines could not address complex cases[50.0% (153/306) ], were unclear on how to search for guidelines[43.1% (132/306) ]and the resources available for retrieving guidelines[34.3% (105 /306) ]; participants mainly obtain the guidelines through the WeChat official account[72.5% (237/327) ] and databases such as the China National Knowledge Infrastructure [50.2% (164/327) ]. 97.0% (327/337) of participants expressed a demand for training to improve their capabilities, suggesting that training should be tailored to the specific needs of primary care institutions[60.8% (205/337) ]; the preferred approaches are advanced training in higher-level hospitals[71.3% (233/327) ]and primary care institutions with high diagnostic and treatment capabilities[56.3% (184/327) ]; the preferred training programs are on standardized treatment of common diseases[78.0% (263/337) ]and multiple coexisting diseases[69.4% (234/337) ]. …”
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  11. 8151

    A meta-analysis of randomized controlled trials: evaluating the efficacy of isokinetic muscle strengthening training in improving knee osteoarthritis outcomes by Wanqin Guo, Jingyang Gao, Dawazhuoma, Xiuling Mi, Ciwang, Bianba

    Published 2025-01-01
    “…The studies included were randomized controlled trials (RCTs) with participants from the plains who met the diagnostic criteria for KOA as outlined in the 2019 edition, with no restrictions on gender, age, or disease course, and no patients with advanced disease; studies where in the control group was either a non-intervention group or a group receiving treatment, other than IMST, and the experimental group received IMST alone or in addition to the treatment administered to the control group; and studies with at least two of the following outcome indicators: (i) knee flexors (Flex)/extensors (Ext) peak torque (PT), (ii) knee Flex/Ext total work (TW), (iii) knee Flex/Ext max rep total work (MRTW), (iv) knee Flex/Ext average power (AP), (v) visual analogue scale (VAS) for pain, (vi) Lequesne index (LI), (vii) Western Ontario and McMaster University Osteoarthritis Index (WOMAC), (viii) Lysholm Knee Scoring Scale (LKSS), (ix) range of motion (ROM) of the knee joint, and (x) 6-min walk test. …”
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  12. 8152
  13. 8153
  14. 8154
  15. 8155
  16. 8156

    Frailty Assessment Tools in Chronic Kidney Disease: A Systematic Review and Meta-analysis by Alisha Puri, Anita M. Lloyd, Aminu K. Bello, Marcello Tonelli, Sandra M. Campbell, Karthik Tennankore, Sara N. Davison, Stephanie Thompson

    Published 2025-03-01
    “…In order to make recommendations for frailty tools across measurement domains, future studies should compare the diagnostic accuracy to the clinical standard, geriatric assessment, and examine responsiveness to change.…”
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  17. 8157
  18. 8158
  19. 8159

    The value of sex hormones and sex hormone-binding globulin in metabolic dysfunction-associated fatty liver disease among boys with obesity by Ying Wang, Shuyi Yang, Suming Zhang, Suming Zhang, Ye Yang, Siqing Li, Siqing Li, Meiyu Zhang, Meiyu Zhang, Xiaona Li, Hua Bai, Peiliang Luo, Yingdi Yuan, Yingdi Yuan

    Published 2025-02-01
    “…Utilizing logistic regression analysis to explore the risk factors for developing MAFLD, and through the construction of Receiver Operating Characteristic (ROC) curves, conducting a preliminary assessment of the diagnostic value for MAFLD.ResultsA total of 155 male children with obesity were included in the study, mean age of 11.07 ± 1.53 years. …”
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  20. 8160