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    Comparison of AI-generated and clinician-designed multiple-choice questions in emergency medicine exam: a psychometric analysis by Murtaza Kaya, Ertan Sonmez, Ali Halici, Harun Yildirim, Abdil Coskun

    Published 2025-07-01
    “…Items were also categorized based on standardized index classifications. Results ChatGPT-4o-generated questions exhibited a higher mean difficulty index (P_index: 0.76 ± 0.23) compared to those created by clinicians (0.65 ± 0.24; p = 0.02), indicating that the AI-generated items were generally easier. …”
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    AlphaMissense Predictions and ClinVar Annotations: A Deep Learning Approach to Uveal Melanoma by David J. Taylor Gonzalez, MD, Mak B. Djulbegovic, MD, MSc, Meghan Sharma, MD, MPH, Michael Antonietti, BS, Colin K. Kim, BS, Vladimir N. Uversky, PhD, DSc, Carol L. Karp, MD, Carol L. Shields, MD, Matthew W. Wilson, MD

    Published 2025-05-01
    “…Notably, AlphaMissense provided definitive classifications for 27.2% (n = 41) of the mutations, which were labeled as “unknown significance” in ClinVar, underscoring its potential to offer more clarity in ambiguous cases. …”
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  18. 28458

    Low expression predicts adverse prognosis in cytogenetically normal acute myeloid leukemia by Jing-dong Zhou, Dong-ming Yao, Li Han, Gao-fei Xiao, Hong Guo, Ting-juan Zhang, Xi-xi Li, Qian Yuan, Lei Yang, Jiang Lin, Jun Qian

    Published 2017-04-01
    “…There were no significant differences between patients with low and high NKD1 expression in sex, age, peripheral blood cells, bone marrow blasts, French–American–British/World Health Organization subtypes, and karyotypes/karyotypic classifications ( p  > 0.05). Although no significant difference was observed in complete remission rate between NKD1 low and NKD1 high patients ( p  > 0.05), Kaplan–Meier analysis revealed that NKD1 low patients showed shorter overall survival time than NKD1 high patients in whole-cohort acute myeloid leukemia, non-M3 acute myeloid leukemia, and cytogenetically normal acute myeloid leukemia ( p  = 0.014, 0.063, and 0.020). …”
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    Human health evidence in the global treaty to end plastic pollution: a survey of policy perspectives by Megan Deeney, Joe Yates, Suneetha Kadiyala, Xavier Cousin, Marie-France Dignac, Mengjiao Wang, Trisia Farrelly, Rosemary Green

    Published 2025-01-01
    “…We received 27 survey responses, balanced by gender and career stage, including 23 countries and all World Bank country income classifications and regions, but greater representation from high-income and European countries. …”
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