AI-enhanced rapid diagnostic testing platform for mass opisthorchiasis screening by Prem Junsawang, Anchalee Techasen, Kannika Wiratchawa, Yupaporn Wanna, Phattharaphon Wongphutorn, Chanika Worasith, Paiboon Sithithaworn, Sahan Bulathwela, Thanapong Intharah

“…This integrated approach marks a significant advancement in mass screening for opisthorchiasis, potentially enhancing early detection rates and supporting more effective public health interventions in Southeast Asia and the Mekong Basin countries. …”
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Analysis of the accuracy of disease prediction in pediatric ward patients based on the modified early warning score for children: A randomized controlled trialWhat is already known... by Kang Lin, Xiaojun Weng, Bing Du, Ting Tian, Xiaoxiang Quan

“…Background: Due to their young age and limited ability to communicate, pediatric patients in internal medicine wards are at risk of nursing assessment errors, which can lead to adverse events and disputes. …”
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Current status of cardiovascular health among US adults using the American heart association’s new “life’s essential 8”: Results from the National health and nutrition examination... by Jiangtao Li, Xiang Wei

“…Future research should prioritize interventions aimed at enhancing the CVH of the US population.…”
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Telehealth for the Initial Evaluation of Musculoskeletal Disorders: Qualitative Study of Patients, Health Care Providers, and Key Stakeholders in the Province of Quebec in Canada by Raphaël Vincent, Pauline Lemersre, Geneviève Ferland, Annie Bélanger, Audrey-Anne Cormier, Kadija Perreault, Jean Sébastien Roy, Nicolas Pinsault, Dahlia Kairy, François Desmeules

“…Five tailored interview guides were developed using the Consolidated Framework of Implementation Research and the Framework of Mathieu-Fritz and Esterle for the study of telehealth interventions. The themes explored included participants’ prior experiences with telehealth, perceived strengths and limitations of telehealth, particularly regarding the initial evaluation and diagnosis of new patients, and the current global environment of telehealth use. …”
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Virtual reality navigation for the early detection of Alzheimer’s disease by Sayuri Shima, Reiko Ohdake, Yasuaki Mizutani, Harutsugu Tatebe, Riki Koike, Atsushi Kasai, Epifanio Bagarinao, Epifanio Bagarinao, Kazuya Kawabata, Kazuya Kawabata, Akihiro Ueda, Mizuki Ito, Junichi Hata, Shinsuke Ishigaki, Junichiro Yoshimoto, Hiroshi Toyama, Takahiko Tokuda, Akihiko Takashima, Hirohisa Watanabe, Hirohisa Watanabe

“…Covariance of PI and AD biomarkers was assessed statistically, including tests for multivariate linear regression, logistic regression, and predictor importance ranking using machine learning, to identify predictive relationships for PI errors.ResultsWe found significant positive correlations between PI errors with age and plasma GFAP, p-tau181, and NfL levels. …”
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Impact of Virtual Care With Remote Automated Monitoring on the Rate of Acute Hospital Care Post Discharge and Index Length of Hospital Stay: Protocol for the Post Discharge After S... by Sandra Ofori, Michael H McGillion, Flavia K Borges, Carley Ouellette, Ameen Patel, David Conen, Maura Marcucci, Michael Ke Wang, Lily Jaeyoung Park, Conor Bell, Jennifer Lounsbury, Kanae Nagatani, Vikas Tandon, Trevor J Wilkieson, Ahraaz Wyne, Valerie Harvey, Stephanie Harrison, Rahima Nenshi, Jessica Bogach, John Harlock, Margherita Cadeddu, Shawn Forbes, Shariq Haider, Reza D Mirza, Sunita Narang, Clare J Reade, Daniel M Tushinski, Amit Raut, Samir Raza, Ted Scott, Anthony Adili, Jeremy Petch, PJ Devereaux

“…Nurses will escalate care to a preassigned and available perioperative care physician if predetermined vital sign thresholds are exceeded, concerning symptoms arise, or a medication error is detected. These physicians manage the issues and add or modify treatments as needed. …”
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Correction: “Impact of Virtual Care With Remote Automated Monitoring on the Rate of Acute Hospital Care Post Discharge and Index Length of Hospital Stay: Protocol for the Post Disc... by Sandra Ofori, Michael H McGillion, Flavia K Borges, Carley Ouellette, Ameen Patel, David Conen, Maura Marcucci, Michael Ke Wang, Lily Jaeyoung Park, Conor Bell, Jennifer Lounsbury, Kanae Nagatani, Vikas Tandon, Trevor J Wilkieson, Ahraaz Wyne, Valerie Harvey, Stephanie Harrison, Rahima Nenshi, Jessica Bogach, John Harlock, Margherita Cadeddu, Shawn Forbes, Shariq Haider, Reza D Mirza, Sunita Narang, Clare J Reade, Daniel M Tushinski, Amit Raut, Samir Raza, Ted Scott, Anthony Adili, Jeremy Petch, PJ Devereaux

“…Nurses will escalate care to a preassigned and available perioperative care physician if predetermined vital sign thresholds are exceeded, concerning symptoms arise, or a medication error is detected. These physicians manage the issues and add or modify treatments as needed. …”
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The impacts of different eyes, individual differences, and different time points in healthy rats on the variability of visual electrophysiological examination indicators by Hong Chen, Yu Cheng, Ke Diao, YiFan Wang, Jing An, Haijiang Zhang, RongRong Li, Dan Zhang, SuMian Cheng, Minglian Zhang, LiFei Wang

“…During retinal function assessment by ffERG, the detection error for different eyes of the same individual<different individuals<different time points, which can be reduced using a reasonable control scheme.…”
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Psychometric evaluation of the Arabic version of the Eight-item Center for Epidemiological Studies Depression Scale (CESD-8): Specific cultural considerations for the assessment of... by Amira M. Ali, Saeed A. Al-Dossary, Feten Fekih-Romdhane, Rana Ali Alameri, Carlos Laranjeira, Haitham Khatatbeh, Mohamed Ali Zoromba, Abdulmajeed A. Alkhamees, Musheer A. Aljaberi, Annamaria Pakai, Heba Emad El-Gazar

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Association between out-of-pocket expenditure and health-related quality of life among patients receiving cancer treatment: a cross-sectional study from Nepal by Pratik Khanal, Suman Sapkota, Nirmal Poudel, Achyut Raj Pandey, Bidwata Bhattarai, Etna Khatiwada, Ravi Kant Mishra, Biraj Man Karmacharya, Shiva Raj Adhikari, Kjell Arne Johansson, Krishna Kumar Aryal

“…We used the ordinary least squares estimation with robust standard errors to identify the association between OOPE and HRQoL (EQ-5D-5L index score). …”
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Prevalence and Associated Factors of Poor Sleep Quality Among Nurses in a Tertiary Care Hospital: A Cross-Sectional Study by Haji Mohamud RY, Mohamed NA, Abdi AA, Osman IM, Ali AN, Doğan S, Mohamud SM, Orhan Z

“…It is recommended that nursing managers assess both the mental and physical health of their staff, implement targeted interventions such as stress management and counseling, and develop workplace strategies to improve sleep, including flexible scheduling and education on sleep hygiene.Keywords: poor sleep quality, associated risk factors, nurses, tertiary care hospital, PSQI…”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Proceeding further, ANN model showed exceptional accuracy in water quality prediction, highlighting the dependability and accuracy of errors in the current work, that includes MAE, MSE, MAD, and RMSE, but also record highest in the validation of goodness-of-fit metrics (NSE and R2). …”
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Addressing inhaler technique challenges in cognitively impaired chronic obstructive pulmonary disease patients: the impact of customized training programs by Vaishnavi V Gaonkar, Vinay V Shanbhag, Shreya S Kajave, Mahek R Mattikop, Mandati Santhosh Reddy

“…Many elderly individuals make major errors that prevent proper medicine administration. …”
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Efficiently constructing complete genomes with CycloneSEQ to fill gaps in bacterial draft assemblies by Hewei Liang, Yuanqiang Zou, Mengmeng Wang, Tongyuan Hu, Haoyu Wang, Wenxin He, Yanmei Ju, Ruijin Guo, Junyi Chen, Fei Guo, Tao Zeng, Yuliang Dong, Yuning Zhang, Bo Wang, Chuanyu Liu, Xin Jin, Wenwei Zhang, Xun Xu, Liang Xiao

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To ensure safe care, we must embrace modern technologies: Utilizing smart rooms in nursing care in the emergency department by Reza Abdollahi, Samereh Eghtedar

“…This technology enables nurses to access critical patient information via electronic health records (EHRs) that are seamlessly integrated into digital displays and virtual assistants within the patient room.[2] For instance, digital displays facilitate the viewing and review of essential information, including patients' food and medication allergies, care plans, and vital signs.[3] Moreover, the adoption of this system significantly decreases the likelihood of care errors while improving communication among healthcare team members. …”
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Expert consensus on the diagnosis and treatment of cemental tear by Ye Liang, Hongrui Liu, Chengjia Xie, Yang Yu, Jinlong Shao, Chunxu Lv, Wenyan Kang, Fuhua Yan, Yaping Pan, Faming Chen, Yan Xu, Zuomin Wang, Yao Sun, Ang Li, Lili Chen, Qingxian Luan, Chuanjiang Zhao, Zhengguo Cao, Yi Liu, Jiang Sun, Zhongchen Song, Lei Zhao, Li Lin, Peihui Ding, Weilian Sun, Jun Wang, Jiang Lin, Guangxun Zhu, Qi Zhang, Lijun Luo, Jiayin Deng, Yihuai Pan, Jin Zhao, Aimei Song, Hongmei Guo, Jin Zhang, Pingping Cui, Song Ge, Rui Zhang, Xiuyun Ren, Shengbin Huang, Xi Wei, Lihong Qiu, Jing Deng, Keqing Pan, Dandan Ma, Hongyu Zhao, Dong Chen, Liangjun Zhong, Gang Ding, Wu Chen, Quanchen Xu, Xiaoyu Sun, Lingqian Du, Ling Li, Yijia Wang, Xiaoyuan Li, Qiang Chen, Hui Wang, Zheng Zhang, Mengmeng Liu, Chengfei Zhang, Xuedong Zhou, Shaohua Ge

“…The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.…”
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HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data by Tanya Golubchik, Lucie Abeler-Dörner, Matthew Hall, Chris Wymant, David Bonsall, George Macintyre-Cockett, Laura Thomson, Jared M. Baeten, Connie L. Celum, Ronald M. Galiwango, Barry Kosloff, Mohammed Limbada, Andrew Mujugira, Nelly R. Mugo, Astrid Gall, François Blanquart, Margreet Bakker, Daniela Bezemer, Swee Hoe Ong, Jan Albert, Norbert Bannert, Jacques Fellay, Barbara Gunsenheimer-Bartmeyer, Huldrych F. Günthard, Pia Kivelä, Roger D. Kouyos, Laurence Meyer, Kholoud Porter, Ard van Sighem, Mark van der Valk, Ben Berkhout, Paul Kellam, Marion Cornelissen, Peter Reiss, Helen Ayles, David N. Burns, Sarah Fidler, Mary Kate Grabowski, Richard Hayes, Joshua T. Herbeck, Joseph Kagaayi, Pontiano Kaleebu, Jairam R. Lingappa, Deogratius Ssemwanga, Susan H. Eshleman, Myron S. Cohen, Oliver Ratmann, Oliver Laeyendecker, Christophe Fraser, the HPTN 071 (PopART) Phylogenetics protocol team, the BEEHIVE consortium and the PANGEA consortium

“…HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. …”
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Effects of Lacticaseibacillus paracasei K56 on perceived stress among pregraduate students: a double-blind, randomized, placebo-controlled trial by Yiran Guan, Ruixin Zhu, Wen Zhao, Langrun Wang, Li You, Zhaozhong Zeng, Qiuyue Jiang, Zeyang Zhu, Jiayu Gou, Qi Zhang, Jie Guo, Keji Li, Liang Zhao, Yixuan Li, Pengjie Wang, Bing Fang, Weilian Hung, Jian He, Liwei Zhang, Ran Wang, Jingjing He

“…Pre- and post-treatment serum biomarkers, gut microbiota composition and metabolites were also detected.ResultsThere was no difference in changes of PSS-10 scores from baseline to 2 weeks between the K56 groups and the placebo [mean (standard error): −1.68 (0.48) vs. -0.39 (0.46), p = 0.055]. …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…Concretely, the tactical behavior was expressed by spatiotemporal tracking data using convolutional neural networks, recurrent neural networks, variational recurrent neural networks, and variational autoencoders, Delaunay method, player rank, hierarchical clustering, logistic regression, XGBoost, random forest classifier, repeated incremental pruning produce error reduction, principal component analysis, and T-distributed stochastic neighbor embedding. …”
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Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study by Martin A Berge, Anisoara Paraschiv-Ionescu, Cameron Kirk, Arne Küderle, Encarna Micó-Amigo, Clemens Becker, Andrea Cereatti, Silvia Del Din, Monika Engdal, Judith Garcia-Aymerich, Karoline B Grønvik, Clint Hansen, Jeffrey M Hausdorff, Jorunn L Helbostad, Carl-Philipp Jansen, Lars Gunnar Johnsen, Jochen Klenk, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Müller, Lynn Rochester, Lars Schwickert, Kristin Taraldsen, Beatrix Vereijken

“…These results have important implications for establishing the clinical validity of DMOs and evaluating the effects of interventions on daily-life gait, thereby facilitating the design of optimal care pathways.…”
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