Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment by Simon Kühne, Jannes Jacobsen, Nicolas Legewie, Jörg Dollmann

“…Our study offers novel insights into the relative importance of AI system characteristics for public attitudes and acceptance. MethodsWe conducted a factorial vignette experiment with a probability-based survey of 3030 participants from Germany’s general population. …”
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Effect of nirmatrelvir/ritonavir (Paxlovid) on hospitalization among adults with COVID-19: An electronic health record-based target trial emulation from N3C. by Abhishek Bhatia, Alexander J Preiss, Xuya Xiao, M Daniel Brannock, G Caleb Alexander, Robert F Chew, Hannah Davis, Megan Fitzgerald, Elaine Hill, Elizabeth P Kelly, Hemalkumar B Mehta, Charisse Madlock-Brown, Kenneth J Wilkins, Christopher G Chute, Melissa Haendel, Richard Moffitt, Emily R Pfaff, N3C Consortium

“…Several studies have found a protective association in real-world data, but they variously used less recent study periods, correlational methods, and small, local cohorts. Their estimates also varied widely. …”
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Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts by Huiruo Liu, Liangshan Wang, Hong Wang, Xing Hao, Zhongtao Du, Chenglong Li, Xiaotong Hou

“…The current study aims for clarifying the link of TyG with the incidences and prognoses of cardiac arrest (CA) following acute myocardial infarction (AMI). Methods Our analysis is a multicenter, retrospective study utilizing data from the Medical Information Mart for Intensive Care IV and the eICU Collaborative Research Database. …”
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Household economic burden and catastrophic expenditures in non-resistant tuberculosis patients: cross-sectional survey in Guizhou, China by Xiaoxue Ma, Aijue Huang, Huijuan Chen, Jian Zhou, Yuying He, Weibing Wang, Rong Du, Xueli Guo, Qi Zhao, Jinlan Li

“…Our goal is to formulate policy recommendations that can effectively alleviate the financial strain on these patients and their families.MethodsThe pulmonary tuberculosis cases, which were non-drug-resistant, registered across the province during May–June 2020, and successfully treated at the time of the survey, underwent questionnaire interviews conducted through probability proportional sampling. …”
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A Contextualized Layered Risk Management Framework for Indian Medical Laboratories by Yogesh R Pawade, Anita S Chalak, Hemant S Dahake

“…A mixed-methods approach was employed, focusing on comprehensive risk understanding, development of a context-sensitive, layered solution, and evaluation of its potential effectiveness. …”
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Investigation of neuromodulation of the endbulb of Held synapse in the cochlear nucleus by serotonin and norepinephrine by Maria Groshkova, Maria Groshkova, Maria Groshkova, Maria Groshkova, Maria Groshkova, Theocharis Alvanos, Theocharis Alvanos, Theocharis Alvanos, Yumeng Qi, Fangfang Wang, Carolin Wichmann, Carolin Wichmann, Carolin Wichmann, Carolin Wichmann, Yunfeng Hua, Tobias Moser, Tobias Moser, Tobias Moser, Tobias Moser, Tobias Moser, Tobias Moser

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The dose–effect relationship between acupuncture and its effect on primary insomnia: a systematic review and meta-analysis by Xiaoni Zhang, Xiaoni Zhang, Yue Wang, Chengyong Liu, Shan Qin, Liyu Lin, Liyu Lin, Can Dong, Wenzhong Wu, Wenzhong Wu, Zhaoming Chen

“…Therefore, this systematic review and meta-analysis was conducted to assess the relationship between the dose and efficacy of acupuncture for the treatment of PI.MethodsSeven databases were searched from inception until May 30, 2024. …”
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Effect of traditional Asian exercise on patients with chronic heart failure: a protocol for network meta-analysis of randomised controlled trials by Yan Li, Qian Lin, Zhuo Zhang, Lintong Yu, Kun Zhou, Jie Wan, Xiang Ji, Jianglin Xu, Ruli Feng, Jialin Jin, Cong Huang, Tianshi Mao

“…For included articles, two reviewers will independently extract the data, and Cochrane Collaboration’s tool will be used to assess risk of bias. …”
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Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study by Houfeng Li, Qinglai Zang, Qi Li, Yanchen Lin, Jintao Duan, Jing Huang, Huixiu Hu, Ying Zhang, Dengyun Xia, Miao Zhou

“…ObjectiveWe aimed to construct and validate a predictive model for postoperative delirium state in older ICU patients, providing timely and effective early identification of high-risk individuals and assisting clinicians in decision-making. MethodsThe data from patients admitted to the ICU for over 24 hours were extracted from the Medical Information Marketplace for Intensive Care IV (MIMIC-IV) database and the eICU Collaborative Research Database (eICU-CRD). …”
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Advice on better utilization of validation data to adjust odds ratios for differential exposure misclassification (recall bias) by Igor Burstyn, George Luta

“…Thus, Vestergaard et al (1) is an example of a study where using fixed values of misclassification probabilities leads to a rather different estimate of 1.05 (and corresponding 95% CI 0.95–1.16) compared to both probabilistic bias analysis and Bayesian adjustment method that use the same validation data. …”
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The origin and dissemination of HIV-1 subtype B on Hainan Island, South China, 2007–2024 by Chunyun Lu, Kaokao Zhu, Nengde Zhang, Mu Li, Shanmei Zhong, Cai Qin, Tong Luo, Rongjing Zhang, Jing Zhang, Yi Ning, Hao Liang, Li Ye, Bingyu Liang, Dee Yu

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Diversity in the medical research ecosystem: a descriptive scientometric analysis of over 49 000 studies and 150 000 authors published in high-impact medical journals between 2007... by Leo Anthony Celi, Jonathan Shaffer, Marie-Laure Charpignon, Liam G McCoy, Luis Filipe Nakayama, Jack Gallifant, Urvish Jain, Joao Matos, Pia Gabrielle I Alfonso, Marisa Cobanaj, Amelia Morel Fiske, Alexander J Gates, Frances Dominique V Ho, Mohammad Kashkooli, Naira Link

“…We advocate for medical journals to adopt policies and practices that promote greater diversity and collaborative research. In addition, our findings offer a first step towards understanding the composition of teams conducting medical research globally and an opportunity for individual authors to reflect on their own collaborative research practices and possibilities to cultivate more diverse partnerships in their work.…”
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OSOBOWE ŹRÓDŁA INFORMACJI JAKO JEDNA Z METOD OPERACYJNEGO DZIAŁANIA ORGANÓW POLICYJNYCH by Rafał Teluk

“…The author presents the methods and aims of the activities pursued out of court by authorised agencies of the state. …”
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Acceptability, tolerability and safety of the BRIGhTMIND trial: Connectivity-guided intermittent theta-burst stimulation versus F3- repetitive transcranial magnetic stimulation for... by Lucy Webster, Clement Boutry, Louise Thomson, Mohamed Abdelghani, Shaun Barber, Paul M. Briley, Micheal Kurkar, Sudheer Lankappa, R. Hamish McAllister-Williams, Ana Suazo Di Paola, Richard Morriss

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Vladimir R. Petković and the foundation of the institute of archaeology: Circumstances and realization by Milovanović Milan, Bikić Vesna

“…The decision to leave the museum after several years probably influenced Petković to implement the first attempt to form the Institute of Archaeology. …”
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Real-world impact of COVID-19 vaccination, household exposure, and circulating SARS-CoV-2 variants on infection risk and symptom presentation in a U.S./Mexico border community by Ariel Cohen, Breanna Reyes, Maria Linda Burola, Angel Lomeli, Arleth A. Escoto, Linda Salgin, Borsika A. Rabin, Borsika A. Rabin, Nicole A. Stadnick, Nicole A. Stadnick, Nicole A. Stadnick, Ilya Zaslavsky, Robert Tukey, Louise C. Laurent, Marva Seifert

“…In this increased infection risk environment, we explored the impact of COVID-19 vaccine status, household exposure, and primary circulating SARS-CoV-2 variant on the probability of infection and symptom presentation while controlling for temporal and sociodemographic factors.MethodsData were collected as part of CO-CREATE (Community-Driven Optimization of COVID-19 Testing to Reach and Engage underserved Areas for Testing Equity), a collaborative implementation study between University of California San Diego, a local Federally Qualified Health Center, and the Global Action Research Center. …”
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A multijurisdictional healthcare-associated outbreak of Ralstonia pickettii from contaminated saline, Australia 2023 by Dr Kelsi Marris, Dr Ned Latham, Dr Caitlin Swift, Sandra Chaverot, Dr Sally Ellis, Narelle Dean, Nerida Russell-Green, Dr Benjamin Armstrong, Vishal Ahuja, Dr Kelly Tsang, Dr Amanda Cuss, Dr Kathy Dempsey, Dr Kate Clezy, Dr Therese Marfori, Dr Gajan Perinpanayagam, Dr Jordan Breed, Frances Sheehan, Dr Karina Kennedy, Dr Jen Kok, Dr Catherine Pitman, Prof Vitali Sintchenko, Dr Anthea Katelaris, Dr Christine Selvey

“…This organism is an uncommon cause of healthcare-associated outbreaks, previously linked to contaminated healthcare fluids. Methods: A NSW outbreak management team was assembled, and later broadened to include other Australian states and territories. …”
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Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling. by Sarah E Seaton, Lisa Barker, Elizabeth S Draper, Keith R Abrams, Neena Modi, Bradley N Manktelow, UK Neonatal Collaborative

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Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…Impact of COVID-19 Of responding sites, 23% reported a change in the method used for cervical ripening and 28% reported a change in criteria for offering home cervical ripening. …”
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Offshore Optical-wireless Integrated Access Network Deployment Algorithm based on MHA-MAD by LI Xuehua, XI Tong, WANG Xin, HUANG Xiang

“…Furthermore, compared to multi-agent Deep Q-Network (DQN) method without the multi-head attention, MHA-MAD algorithm improves the performance by nearly 8% in the joint optimization objective of minimizing overall network deployment costs, node power consumption, link attenuation, and network deployment risk probabilities.…”
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