Showing 1,701 - 1,720 results of 5,962 for search 'conclusion (errors OR error)', query time: 0.12s Refine Results
  1. 1701

    Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

    Published 2025-02-01
    “…The evaluations included the quantitative metrics of BiLingual Evaluation Understudy (BLEU), Character Error Rate (CER), Word Error Rate (WER), Metric for Evaluation of Translation with Explicit ORdering (METEOR), and Bidirectional Encoder Representations from Transformers (BERT) score, as well as qualitative evaluations by four experts. …”
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  2. 1702

    Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation by Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer Antani

    Published 2024-12-01
    “…Results: The model based on the pretrained vision transformer (ViT) and self-supervised learning achieved the best performance in cross validation, with mean squared error (MSE) of 23.83 (95 % CI 22.67–25.00) and mean absolute error (MAE) of 3.64 (95 % CI 3.54–3.73). …”
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  3. 1703

    Comparison of Intraocular Lens Calculation Formulas for Phacoemulsification after Corneal Refractive Surgery in Asian Eyes by Cris Martin Jacoba, MD, DPBO, Mary Ellen Sy, MD, DPBO, Isa Mulingbayan Jacoba, MD

    Published 2020-12-01
    “…Using the post-phacoemulsification manifest refraction spherical equivalent (MRSE) as target refraction, IOL prediction error (PE) for each formula was calculated as the implanted minus the predicted IOL power. …”
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  4. 1704

    Assessment of the Severity of Breast Artery Calcification on a Mammogram: Intraoperator and Interoperator Reproducibility by E. V. Bochkareva, E. K. Butina, N. Kh. Bayramkulova, O. A. Abdalova, V. A. Kutsenko, O. M. Drapkina

    Published 2021-11-01
    “…There was no systematic error between the measurements of the two experts (p=0.438), the correlation coefficient was rs=0.942.Conclusion. …”
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  5. 1705

    Enhancing Gamma Knife Cone-beam Computed Tomography Image Quality Using Pix2pix Generative Adversarial Networks: A Deep Learning Approach by Prabhakar Ramachandran, Darcie Anderson, Zachery Colbert, Daniel Arrington, Michael Huo, Mark B Pinkham, Matthew Foote, Andrew Fielding

    Published 2025-01-01
    “…The sCT images were evaluated against ground truth CT scans using image quality assessment metrics, including the structural similarity index (SSIM), mean absolute error (MAE), root mean square error (RMSE), peak signal-to-noise ratio (PSNR), normalized cross-correlation, and dice similarity coefficient. …”
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  6. 1706

    Anterior Chamber Angle Evaluation following Phakic Posterior Chamber Collamer Lens with CentraFLOW and Its Correlation with ICL Vault and Intraocular Pressure by Sherif A. Eissa, Sherin H. Sadek, Mohamed W. A. El-Deeb

    Published 2016-01-01
    “…To assess intraocular pressure (IOP), lens vaulting, and anterior chamber (AC) angle width, following V4C implantable Collamer lens (ICL) procedure for myopic refractive error. Methods. A prospective case series that enrolled 54 eyes of 27 patients that were evaluated before and after V4C phakic posterior chamber Collamer lens implantation for correction of myopic refractive error. …”
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  7. 1707

    Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt by Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

    Published 2025-05-01
    “…Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis. Results The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. …”
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  8. 1708

    Construct Validation of a Multidimensional Computerized Adaptive Test for Fatigue in Rheumatoid Arthritis. by Stephanie Nikolaus, Christina Bode, Erik Taal, Harald E Vonkeman, Cees A W Glas, Mart A F J van de Laar

    Published 2015-01-01
    “…Measurement precision was excellent for the severity and impact dimensions, with more than 90% of the CAT administrations reaching a standard error below 0.32. The variability dimension showed good measurement precision with 90% of the CAT administrations reaching a standard error below 0.44. …”
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  9. 1709

    The Issues of Expert Opinion Evaluation on Forensic Transport Examinations by N. N. Il’in

    Published 2020-12-01
    “…The analysis of the errors made by experts on forensic transport examinations indicates the need to study the received conclusions thoroughly, look closely not only into the conclusions themselves but also into the content of the research part, which will allow to timely recognize the incompetence of the study, detect technical errors, as well as the inconsistency with the conclusions on other circumstances established in a criminal case.…”
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  10. 1710

    Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT by Jinhua Wang, Zhenchen Zhu, Zhengsong Pan, Weixiong Tan, Wei Han, Zhen Zhou, Ge Hu, Zhuangfei Ma, Yinghao Xu, Zhoumeng Ying, Xin Sui, Zhengyu Jin, Lan Song, Wei Song

    Published 2025-05-01
    “…Wilcoxon signed-rank test was used to evaluate the percentage errors of nodule size and nodule volume between HIR and DLR images. …”
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  11. 1711

    Forecasting particulate matter concentration using nonlinear autoregression with exogenous input model by M.I. Rumaling, F.P. Chee, H.W.J. Chang, C.M. Payus, S.K. Kong, J. Dayou, J. Sentian

    Published 2022-10-01
    “…By using these variables together with temporal variables as input in the nonlinear autoregressive with exogenous input models, the resultant model shows good forecasting performance, with root mean square error of 7.086±0.873 µg/m3. The selection of significant variables helps in reducing input variables inside the forecast model without degrading its forecast performance.CONCLUSION: This model shows very promising performance in forecasting PM10 concentration in Kota Kinabalu as it requires fewer input variables and does not require variable transformation.…”
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  12. 1712

    Comparison of the Effects of Wearing Overminus Spectacles versus Patch Therapy in 3- to 8-Year-Old Children with Intermittent Exotropia: A Randomized Controlled Trial by Mohammad Sharifi, Samira Hassanzadeh, Marzieh Najaran, Negar Shahsavar, Negar Morovatdar

    Published 2024-12-01
    “…Non-surgical treatments include refractive error correction, occasional patching of the normal eye in young children, prism therapy, and orthoptic exercises. …”
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  13. 1713

    Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials by Rodriguez JD, Hamm A, Bensinger E, Kerti SJ, Gomes PJ, Ousler III GW, Gupta P, De Moraes CG, Abelson MB

    Published 2025-03-01
    “…The optimal generalized model improved predictive accuracy with horizontality such that 93.0% of images were predicted with an absolute error less than one unit difference in grading.Conclusion: This study demonstrates that fully automating image analysis allows thousands of images to be graded efficiently. …”
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  14. 1714

    A Retrospective Trial Comparing Prediction Accuracy of Three Biometers in Short, Medium, and Long Eyes by Multack S, Plummer N, Marneris A, Hall B

    Published 2025-02-01
    “…Sam Multack,1 Nellie Plummer,1 Athanasios Marneris,1 Brad Hall2 1Multack Eye Care, Frankfort, IL, USA; 2Sengi, Penniac, NB, CanadaCorrespondence: Sam Multack, Multack Eye Care, 22200 Wolf Road, Frankfort, IL, 60423, USA, Tel +1-815-889-3333, Email smultack@mecvision.comPurpose: To assess the non-inferiority of mean absolute prediction error (APE) of the Argos (Movu, a Santec company) compared with the IOL Master 700 (Carl Zeiss Meditec AG) and Lenstar LS900 (Haag-Streit AG) biometers utilizing the Barrett Universal II (BUII) formula for power calculations in short, medium, and long axial length eyes.Methods: This was a retrospective chart review of prediction error from 3 biometers (Argos, IOLMaster 700, and Lenstar LS900). …”
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  15. 1715

    Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir are... by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

    Published 2024-10-01
    “…A comparative analysis is conducted based on four aspects: orthophoto quality, accuracy error, time consumption, and operation difficulty. …”
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  16. 1716
  17. 1717

    Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease by Erik Elgaard Sørensen, John Hansen, Charlotte Brun Thorup, Mette Grønkjær, Jan Jesper Andreasen, Birthe Irene Dinesen

    Published 2017-03-01
    “…Thus, none of the 24-hour tests had less than the expected 20% error. In time periods of evident walking during the 24 h test, the Zip had an average per cent relative error of <3% at 3.6 km/hour and higher speeds.Conclusions A speed of 3.6 km/hour or higher is required to expect acceptable accuracy in step measurement using a Zip, on a treadmill and in real life. …”
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  18. 1718

    Measuring. Monitoring. Management. Control by A.V. Svetlov, A.S. Koldov

    Published 2024-12-01
    “…The purpose of the study is to develop and investigate a minor-error amplitude detector for converting the amplitude of a sine wave voltage into the direct current voltage. …”
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  19. 1719

    A Supplementary Analysis and Critique of Maktabi Shirazi's Correction of 'Words Aliyya Ghurra' by Mohammad hadi Khaleghzadeh

    Published 2024-09-01
    “…This initial publication was riddled with errors and inaccuracies. In the next attempt, Mahmoud Abadi published a corrected edition in 1999. …”
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  20. 1720

    Should Studies of Diabetes Treatment Stratification Correct for Baseline HbA1c? by Angus G Jones, Mike Lonergan, William E Henley, Ewan R Pearson, Andrew T Hattersley, Beverley M Shields

    Published 2016-01-01
    “…However, baseline adjustment may introduce error if the association between baseline HbA1c and response is substantially due to measurement error and regression to the mean. …”
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