Linking workplace incivility to turnover outcomes in nursing
J Health Organ Manag. 2025 Oct 13;39(6):1195-1216. doi: 10.1108/JHOM-06-2024-0246. ABSTRACT PURPOSE: This paper investigates the relationship between workplace incivility (WI) and nurses’ job and vocational turnover intentions. We introduce two moderators, organizational efficacy (OE) and calling and investigate their influence on the relationship between WI and turnover intentions. DESIGN/METHODOLOGY/APPROACH: We surveyed 187 nurses in the […]
Artificial intelligence-driven prediction and interpretation of central line-associated bloodstream infections in ICU: insights from the MIMIC-IV database
Front Public Health. 2025 Sep 25;13:1675077. doi: 10.3389/fpubh.2025.1675077. eCollection 2025. ABSTRACT OBJECTIVE: To develop and internally validate interpretable machine learning (ML) models for predicting individual central line-associated bloodstream infection (CLABSI) risk in adult ICU patients with central venous catheters (CVCs) using the MIMIC-IV database. METHODS: We conducted a retrospective observational cohort study using the MIMIC-IV […]
Cross-sectional study of women’s representation in leadership positions in Turkish medical schools, academic departments, specialty boards, conferences and journals in 2023
BMJ Open. 2025 Oct 13;15(10):e089298. doi: 10.1136/bmjopen-2024-089298. ABSTRACT OBJECTIVES: Ensuring gender equity in leadership is crucial for fair representation and diversity in academic medicine. This study aims to investigate the representation of women in leadership positions in Turkish academic medicine, including medical schools, specialty boards, conferences and medical journals. DESIGN AND SETTING: A cross-sectional study […]
Predicting ICU Readmission in Patients With Cerebral Infarction: A Machine Learning Approach Using Neurophysiological and Clinical Data
Brain Behav. 2025 Oct;15(10):e70958. doi: 10.1002/brb3.70958. ABSTRACT OBJECTIVE: To develop and validate a machine learning (ML)-based predictive model for intensive care unit (ICU) readmission in patients with cerebral infarction using neurophysiological and clinical data from the MIMIC-IV database. METHODS: A retrospective cohort of 3,348 patients diagnosed with cerebral infarction was identified from the MIMIC-IV database. […]
Parabrachial Hub Identified as Central Node in Long-lasting Pain Signaling
Despite advances in understanding the acute pain pathways, the neural mechanisms underlying chronic or severe pain remain poorly understood. While neurons responding to transient pain are known throughout the nervous system, identifying those that are active specifically in long-term pain is crucial. A recent study published in Nature identifies a group of neurons in the […]
Investigating the approach of using behavior change techniques in the field of mobile applications: a systematic review
BMC Health Serv Res. 2025 Oct 10;25(1):1347. doi: 10.1186/s12913-025-13534-7. ABSTRACT BACKGROUND: Behavior change techniques (BCTs) are widely used to improve health conditions in individuals. Mobile technologies are increasingly used in health care by facilitating adherence to the recommendations and behavior change. There is inconsistency regarding the usefulness of various BCTs in mobile technologies. OBJECTIVES: This […]
Smartphone-based label on package for monitoring the freshness of meat: a review
Food Res Int. 2025 Nov;220:117169. doi: 10.1016/j.foodres.2025.117169. Epub 2025 Jul 31. ABSTRACT Recently, meat waste and illnesses related to meat spoilage have increased significantly, and ensuring meat freshness has become more crucial for consumers and the food industry. To address this issue, developing sensitive, simple, non-destructive, cost-effective, and real-time methods for assessing freshness during storage, […]
Machine Learning for Predicting Mortality in Intensive Care Unit Patients: A Prognostic Performance Systematic Review and Meta-Analysis
Nurs Crit Care. 2025 Nov;30(6):e70206. doi: 10.1111/nicc.70206. ABSTRACT BACKGROUND: Predicting patient outcomes upon ICU admission remains challenging; however, early mortality prediction could facilitate timely interventions. A comprehensive synthesis of the literature on the performance of machine learning models for predicting ICU mortality is currently lacking. AIM: This study aimed to review the literature on machine […]
An AIoT enabled system for optimizing data retrieval in the intensive care unit evaluated in a randomized crossover pilot trial
Sci Rep. 2025 Oct 9;15(1):35374. doi: 10.1038/s41598-025-19413-9. ABSTRACT Healthcare providers (HCPs) in the intensive care unit (ICU) frequently face information overload, which can result in cognitive fatigue and decision-making errors. This study compares the efficiency and accuracy of data collection between an artificial intelligence of things (AIoT)-enabled ICU command center (CC) and a hospital information […]
Harnessing Collaborative AI for Medical Examinations: Evaluating the Use of a Multi-Agent GPT Council on the USMLE
Since the release of OpenAI’s Generative Pretrained Transformer (GPT) models, large language models (LLMs) have demonstrated remarkable capabilities in medical reasoning and knowledge-based examinations. After the introduction of GPT-3.5 in December 2022, many studies assessed its performance on medical licensing exams like the United States Medical Licensing Examination (USMLE). Researchers have discovered that there was […]
