Evaluation of multiple machine learning models predicting the results of hybrid imaging in primary hyperparathyroidism by Anna Drynda, Jacek Podlewski, Karolina Kucharczyk, Grzegorz Sokołowski, Anna Sowa-Staszczak, Alicja Hubalewska-Dydejczyk, Małgorzata Trofimiuk- Müldner

“…RESULTS: The LR model demonstrated the best out-of-sample performance, achieving a specificity of 81.3% and an accuracy of 69.3%, with a sensitivity of 55.7%. …”
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Determinants of aged cheese consumer preferences in Morocco—a cross-sectional study of economic, cultural, and social factors influencing purchasing behaviors by Nouhayla Mouatadid, Mourad Oukheda, Mourad Oukheda, Mustapha Khiati, Rachid Saile, Anass Kettani

“…An online questionnaire, validated and distributed to a representative sample of the population, was used to statistically analyze these trends. …”
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Treatment Patterns of Long-Acting Somatostatin Analogs for Neuroendocrine Tumors by Callisia N. Clarke, Paul Cockrum, Thomas J.R. Beveridge, Michelle Jerry, Donna McMorrow, Anh Thu Tran, Alexandria T. Phan

“…Understanding treatment sequencing and dosing patterns of LA-SSA is essential for clinical decision-making to provide value-based management of NETs…”
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Burnout syndrome and accidents in primary healthcare nursing workers: a scoping review by Célia Cristina Franco de Godoy, Anacleta Rodrigues Lima, Paula Hino, Mônica Taminato, Meiry Fernanda Pinto Okuno, Hugo Fernandes

“…Accidents involving biological and chemical materials were the most frequent and were associated with the need for very quick decision-making, little training, excessive demands and long working hours. …”
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Changes in medical use of central nervous system stimulants among US adults, 2013 and 2018: a cross-sectional study by G Caleb Alexander, Thomas J Moore, Stefan P Kruszewski, Phillip W Wirtz

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An analysis of the real world performance of an artificial intelligence based autism diagnostic by Carmela Salomon, Kelianne Heinz, Judith Aronson-Ramos, Dennis P. Wall

“…In this sample of 254 children with a 54.7% autism prevalence rate (29.1% female, average age 39.99 months), Canvas Dx had a NPV of 97.6% (CI- 92.8% -100.0%) and a PPV of 92.4% (CI-87.7%-97.2%). …”
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Review on the Monitoring and Early Warning Technology of Large-scale Unstable Rock Collapse by Yan DU, Hongda ZHANG, Mowen XIE, Yujing JIANG, Shuangquan LI, Jingnan LIU

“…In terms of data collection for case studies of large-scale dangerous rock mass collapse disasters, comprehensively constructing the SDEI database for various large-scale dangerous rock mass collapse case monitoring samples should be undertaken, ultimately forming a virtuous development cycle of research on theoretical models of large-scale dangerous rock mass collapse disasters, development of monitoring equipment, construction of index systems, development of early warning technology, and database upgrading and improvement. …”
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Prognostic and therapeutic relevance of IL2RG-related LncRNAs in clear cell renal cell carcinoma by Weijing Hu, Bo Wu, Yongquan Chen, Xiaoling Guo, Xiaosong Wang, Dongwen Wang

“…The prognostic value of the nomogram was further evaluated through calibration curves, ROC curves, and Decision Curve Analysis (DCA). Gene set enrichment analysis (GSEA), single-sample GSEA (ssGSEA), CIBERSORT algorithms, and TISCH2 database were applied to analyze immune function and immune cell infiltration in different risk groups. …”
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Optimized strategy for real-time qPCR detection of Onchocerca volvulus DNA in pooled Simulium sp. blackfly vectors. by Mary Doherty, Jessica R Grant, Nils Pilotte, Sasisekhar Bennuru, Kerstin Fischer, Peter U Fischer, Sara Lustigman, Thomas B Nutman, Kenneth Pfarr, Achim Hoerauf, Thomas R Unnasch, Hassan K Hassan, Samuel Wanji, Patrick J Lammie, Eric Ottesen, Charles Mackenzie, Steven A Williams

“…It is essential that accurate data for active transmission are used to assist in making the critical decision to stop MDA, since missing low levels of transmission and infection can lead to continued spread or recrudescence of the disease.…”
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Development, acceptability and usability of culturally appropriate survivor narrative videos for breast cancer treatment in Botswana: a pilot study by Lawrence N Shulman, Yehoda M Martei, Dipho I Setlhako, Lebogang Mokokwe, Ngwao Ngwako, Keaobaka Kebuang, Goitsemang Gabaatlhole, Bontswanetse Baaitse, Tumisang Segadimo, Frances Barg, Babe E Gaolebale

“…Objectives Narrative communication has demonstrated effectiveness in promoting positive health behaviours, delivering support and coping with complex decision-making. Formal research evaluating this intervention for cancer treatment in Africa is lacking. …”
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Performance of Abbott ID‐Now rapid nucleic amplification test for laboratory identification of COVID‐19 in asymptomatic emergency department patients by Anu Ramachandran, Jeanne Noble, Anne Deucher, Steve Miller, Patrick Wai Tang, Ralph C Wang

“…Given its speed and performance in this population, ID‐Now should be considered an excellent tool to support clinical decision‐making in ED populations.…”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…This work integrates explainable artificial intelligence (XAI) techniques, including gradient-weighted class action mapping (Grad-CAM) visualizations, to provide transparent and interpretable insight into the classification reasoning of the model, addressing the critical need for understanding automated decision-making processes. The comprehensive evaluation on a terrestrial LiDAR dataset demonstrates the superior performance of ResTreeNet, achieving a state-of-the-art accuracy of 94.02% on samples with 1024-points, surpassing the existing models by 2.03%. …”
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Development and Validation of the CHDSI Questionnaire: A New Tool for Measuring Disease-Specific Quality of Life in Children and Adolescents with Congenital Heart Defects by Paul C. Helm, Ulrike M. M. Bauer, Peter Ewert, Julia Remmele

“…It provides valuable support for clinical decision-making and research. Further studies should explore international validation and cultural adaptation.…”
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Impact of family doctors on gradient utilization of health services among diabetic patients: evidence from a real-world study by Yin Fan, Mengyun Sui, Leiyu Shi, Long Xue, Su Xu

“…This study aimed to investigate the impact of the family doctor system on the gradient utilization of health services among diabetic patients using real-world data.MethodsWe conducted an eight-year cohort study in Shanghai from 2014 to 2021, with a final sample size of 491,674 participants, including 459,600 contracted and 32,074 non-contracted patients. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…A custom dataset has been constructed in this research comprising approximately 506 samples and 22 features utilizing the Moodle learning management system (LMS), successfully categorizing students into their respective learning styles. …”
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Assessing medical students’ attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia by Dalia Alammari, Dalia Alammari, Elaf Alamari, Rawan Alamri, Raneem Alharbi, Jumana Felimban, Jana Aljohani

“…BackgroundChatGPT, an advanced AI language model, has the potential to significantly enhance medical education by supporting clinical decision-making, facilitating knowledge acquisition, and improving learning outcomes. …”
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Smart neural network and cognitive computing process for multi task nuclei detection segmentation and classification in breast cancer histopathology images by M. Suriya Begum, S. Kalaivani

“…Proposed CCP and SNN were evaluated using the BreakHis dataset, which contains 5547 images of benign and malignant samples at various magnifications (40×, 100×, 200×, 400×). …”
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Digital Interventions for Cognitive Dysfunction in Patients With Stroke: Systematic Review and Meta-Analysis by Chen Wang, Min Liu

“…However, caution is warranted due to the heterogeneity of the included studies, risk of bias, and limited sample sizes in some studies. Future research should focus on optimizing intervention protocols, integrating neuromodulation or traditional rehabilitation techniques, and exploring cost-effective clinical implementation strategies.…”
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School life during COVID-19: a qualitative study exploring English secondary school staff and pupils’ experiences of the school-based mitigation measures by Sarah Bell, Jane Williams, Sabi Redwood, Jeremy Horwood

“…Participants were purposively sampled from English schools serving diverse communities participating in the CoMMinS (COVID-19 Mapping and Mitigation in Schools) study. …”
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Biomass distribution law of winter wheat in mining-affected area based on UAV remote sensing by Jing WANG, Wenbing GUO, Zhichao CHEN, Erhu BAI

“…Biomass inversion models were constructed using decision tree regression (DTR), random forest regression (RFR), and support vector regression (SVR) based on field-synchronous biomass data. …”
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