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  1. 1601

    Count-rate management in 131I SPECT/CT calibration by Staffan Jacobsson Svärd, Cecilia Hindorf, Joachim N. Nilsson

    Published 2025-01-01
    “…However, count losses due to dead time and pulse pileup may cause calibration errors, in particular for 131I, where high count rates may be encountered. …”
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  2. 1602

    The Functional Origin of Oral Word Production Deficits in the Logopenic Variant of Primary Progressive Aphasia: A Systematic Review by Amra Hasanovic, Joël Macoir, Amélie Sanfaçon-Verret, Laura Monetta

    Published 2025-01-01
    “…Interestingly, the possibility of a third functional origin, affecting the semantic processing level, was also suggested by some studies. Conclusions: We concluded that the presence of different functional origins of OWP in this population may be explained, at least partially, by the diversity of assessment tasks used in studies and the varied manipulation and control of psycholinguistic properties of words (e.g., frequency, length), as well as the various interpretations and analyses of the participants’ errors. …”
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  3. 1603

    Identifying Prolonged Zero Value Periods as Part of Quality Control on Daily Rainfall Records in East Java, Indonesia by Dinda Rosyia Wibawanty, I Putu Santikayasa, Supari

    Published 2025-04-01
    “…Among various types of errors that may arise, the issue of zero rainfall records is relatively overlooked. …”
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  4. 1604
  5. 1605

    Refractive outcomes after intravitreal injection of antivascular endothelial growth factor versus laser photocoagulation for retinopathy of prematurity: a meta-analysis by Wai-kit Ming, Qihang Kong, Xue-Song Mi

    Published 2021-02-01
    “…However, there are relatively few published articles on refractive errors in ROP, and so high-quality and powerful RCTs are needed in the future.PROSPERO registration number CRD42020160673.…”
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  6. 1606

    A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

    Published 2019-01-01
    “…<h4>Results</h4>The root mean square errors (RMSEs) of the four sub-models were 13.176, 14.543, 9.571 and 7.208; the mean absolute scaled errors (MASEs) were 0.469, 0.472, 0.296 and 0.266 and the mean absolute deviation (MAD) were 6.403, 7.658, 5.871 and 5.691. …”
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  7. 1607

    A 5-Year retrospective analysis of adverse events in dentistry at the Dental Hospital, Faculty of Dentistry, Chulalongkorn University by Kiti Siriwatana, Sathirakorn Pongpanich

    Published 2024-10-01
    “…Top patient safety incidents included medical record errors (176), accidental damage (66), post-operative complications (65), medical emergencies (64), and communication errors (53). …”
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  8. 1608

    The Performance of Spot Photoscreener in 6 to 10 Weeks Infants in China: A Cross-Sectional Study by Yaoling Li, Jing Li, Huiyu Wang, Mingyang Du, Lirong Wei, Teng Su, Gang Ding, Xuehan Qian, Ning Hua

    Published 2024-01-01
    “…To compare the refractive errors measured by the Spot photoscreener (with or without cycloplegia) to cycloplegic retinoscopy in 6- to 10-week-old infants. …”
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  9. 1609

    HIV in the Penitentiary System of the Region with High Level of Prevalence of HIV-infection over a Period of Years (on the Example of Tyumen Region) by S. Ye. Kondratova, A. N. Marchenko, E. A. Kashuba, A. A. Bel'tikova, O. A. Nesterova

    Published 2019-11-01
    “…The work uses analytical, epidemiological methods, research methods, statistical evaluation methods, average errors, average errors, estimated significance, differences between comparison factors. …”
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  10. 1610

    Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

    Published 2025-07-01
    “…Simulated anomalies were created to mimic potential errors and were used in the training and testing of the model. …”
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  11. 1611

    Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review by Isidro Miguel Martín Pérez, Sofia Bourhim, Sebastián Eustaquio Martín Pérez

    Published 2025-05-01
    “…Common limitations included demographic bias, heterogeneous imaging protocols, and scarce external validation. Conclusions: AI-based approaches have substantially advanced automated bone-age estimation, delivering clinical-grade speed and mean absolute errors below 6 months. …”
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  12. 1612

    Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages by Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam

    Published 2025-03-01
    “…Results Out of 24,229 patient records classified as poorly labeled, 18,879 were identified without typographical errors and confirmed for RTI through filtering methods. …”
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  13. 1613

    Involving End Users in the Development and Usability Testing of a Smartphone App Designed for Individuals With Prediabetes: Mixed-Methods Focus Group Study by Natalie Grieve, Kyra Braaten, Megan MacPherson, Sam Liu, Mary E Jung

    Published 2025-02-01
    “…ResultsAnalysis of the cognitive walkthrough identified 26 usability problems; each was coded using a heuristic evaluation to describe usability errors. The most frequently coded errors included inappropriate progress feedback, information appearing in an illogical order, counterintuitive design, and issues with app aesthetics. …”
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  14. 1614

    An Evaluation of the ASTar Automated Antimicrobial Testing System for Gram-Negative Bacteria in Positive Blood Cultures by Hannah Coulson, Angelo Ivin, Kathryn M. Day, Danielle J. C. Fenwick, Emma C. L. Marrs, Patrick Mpwilu, John D. Perry

    Published 2025-03-01
    “…<b>Results</b>: For 121 isolates of Gram-negative bacteria, ASTar showed an average essential agreement of 87.2% and an average categorical agreement of 94%, when compared with BMD. Very major errors (false susceptibility) and major errors (false resistance) were associated with 0.9% and 3.4% of results, respectively. …”
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  15. 1615

    Precision of body composition estimation from commercial bioelectrical impedance analysis devices in male Mexican soccer players by Manuel A. Vázquez-Bautista, Enrique Castilla-Arias, Alejandrina Bautista-Jacobo, Perla E. Medina-Corral, Fernanda Delgado-Gaytán

    Published 2025-01-01
    “…To determine the technical error and biological error of measurements, the root means square error (RMSE) and least significant change (LSC). …”
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  16. 1616
  17. 1617

    Safety standards in anesthesiology and during regional anesthesia: implementation in Ukraine by K. Yu. Bielka, Yu. L. Kuchyn, N. M. Semenko

    Published 2023-12-01
    “…There is also a low level of taking safety measures, which include checklists, training, and clinical analyzes of errors. Conclusions. According to the data of this literature review, the components of the Declaration of Helsinki on safety in anesthesiology are gradually being implemented in Ukraine, the use of the WHO checklist “Safe surgery” and safety standards of regional anesthesia is spreading. …”
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  18. 1618

    Identification of digital device hardware vulnerabilities based on scanning systems and semi-natural modeling by E. F. Pevtsov, T. A. Demenkova, A. О. Indrishenok, V. V. Filimonov

    Published 2024-08-01
    “…An important aspect of this problem is to study existing methods for the possibility and ability to identify hardware errors or search for errors on the corresponding models. …”
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  19. 1619

    Determinants of poor inhaler technique and poor therapy adherence in obstructive lung diseases: a cross-sectional study in community pharmacies by Barbara Putman, Lies Lahousse, Anna Vanoverschelde, Paulien van der Wel

    Published 2021-01-01
    “…Inhaler technique scored generally poor, with half of patients making critical errors in using at least one of their inhalers. In multivariable analysis, the use of multiple devices (adjusted OR, aOR 11.68; 95% CI 3.29 to 41.51) and a diagnosis of asthma-Chronic Obstructive Pulmonary Disease overlap (ACO; aOR 7.06; 95% CI 1.15 to 43.35), were associated with making critical errors in inhaler technique independent of quality of life. …”
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  20. 1620