Development and implementation of an artificial intelligence–enhanced care model to improve patient safety in hospital wards in Spain by Alejandro Huete-Garcia, Sara Rodriguez-Lopez

“…Integrating artificial intelligence (AI) could enhance the predictive accuracy and operational efficiency of such systems. …”
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Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea by Taeyong Sim, Eun Young Cho, Ji-hyun Kim, Kyung Hyun Lee, Kwang Joon Kim, Sangchul Hahn, Eun Yeong Ha, Eunkyeong Yun, In-Cheol Kim, Sun Hyo Park, Chi-Heum Cho, Gyeong Im Yu, Byung Eun Ahn, Yeeun Jeong, Joo-Yun Won, Hochan Cho, Ki-Byung Lee

“…Background Acute deterioration of patients in general wards often leads to major adverse events (MAEs), including unplanned intensive care unit transfers, cardiac arrest, or death. …”
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Design Principles of a Flat-Pack Electronic Sensor Kit with Intelligent User Interface Calibrations: A Case Study of Monitoring Sedentary Behavior in Workplace by Ananda Maiti, Vanessa Ward, Amy Hilliard, Anjia Ye, Scott J. Pedersen

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Sociology of values: experience of building a taxonomy by using natural language analysis technology by M. A. Kashina, S. Tkach

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Artificial intelligence-based evaluation of prognosis in cirrhosis by Yinping Zhai, Darong Hai, Li Zeng, Chenyan Lin, Xinru Tan, Zefei Mo, Qijia Tao, Wenhui Li, Xiaowei Xu, Qi Zhao, Jianwei Shuai, Jingye Pan

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Developing a model for clinical teaching with emotional intelligence by Athar Omid, Fariba Haghani, Nahid Toufan

“…In this regard, there is emphasis on emotional intelligence as an essential competency. The aim of this study was to develop a model for clinical teaching with emotional intelligence based on the experiences of clinical teachers. …”
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LatentColorization: Latent Diffusion-Based Speaker Video Colorization by Rory Ward, Dan Bigioi, Shubhajit Basak, John G. Breslin, Peter Corcoran

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Nurses’ Knowledge and Attitudes Regarding Artificial Intelligence Technology in Iraq by Islam Mohammed Khalil, Amean A Yasir

“…A convenience sample of 354 nurses was selected from different hospital departments, including surgical wards, medical, intensive care unit, emergency, dialysis, and maternal and child units. …”
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Personnel Scheduling Problem under Hierarchical Management Based on Intelligent Algorithm by Li Huang, Chunming Ye, Jie Gao, Po-Chou Shih, Franley Mngumi, Xun Mei

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Risk factors for Ascaris lumbricoides infection and its association with nutritional status and IQ in 14-Year old adolescents in Chitwan, Nepal by Rajendra Prasad Parajuli, Shristi Bhandari, Lauren Marie Ward, Jose Ricardo Suarez-Lopez

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Relationship between Mediterranean diet, physical activity and emotional intelligence in Spanish undergraduates by Daniel Sanz-Martín, Félix Zurita-Ortega, Javier Cachón-Zagalaz, Eduardo Melguizo-Ibáñez

“…The regression model obtained for the whole sample was: Mediterranean diet= 2.536+0.001*physical activity+0.029*emotional intelligence. The two-stage cluster classification (Ward and k-means) was validated with the MANOVA test (Pillai trace: F (6, 820) = 159.101; p ≤ 0.001; f = 1.00). …”
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Effective Development and Management Strategy for Distributed Smart Grids Based on Collective Intelligence by Zongchao YU, Ming WEN, Xianghua LI, Xintao XIE, Hongming YANG

“…To overcome the challenge of accurately investing in the construction strategies of distributed smart grids under different resource endowments, an efficient development and management strategy for distributed smart grids based on collective intelligence was proposed. Firstly, relying on development planning data of massive distributed smart grids, the optimal index set for the development of distributed smart grids was constructed from three aspects of operation, planning, and development by using Ward agglomerative hierarchical clustering. …”
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Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis by Jing Gao, Xinyu Chen, Xiaolian Jiang, Chenxi Wu, Huiqiong Xu, Dingxi Bai

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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

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Impact of nurses’ emotional intelligence and self-compassion on occupational burnout: A correlation study by Bhartendra Sharma, Sukhbir Kaur, Vikas Sharma

“…BACKGROUND: To cope up with the stressors and to make correct decisions in critical conditions and to enhance the quality of health care services the nurses adopt measures like emotional intelligence and self-compassion. MATERIAL AND METHODS: A nonexperimental descriptive correlation research design was used to collect data from 450 staff nurses working in different wards of Mahatma Gandhi hospital, Jaipur, Rajasthan, from 01/08/2023 to 30/9/2023 by convenient sampling technique. …”
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Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

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Development and Clinical Interpretation of an Explainable AI Model for Predicting Patient Pathways in the Emergency Department: A Retrospective Study by Émilien Arnaud, Pedro Antonio Moreno-Sanchez, Mahmoud Elbattah, Christine Ammirati, Mark van Gils, Gilles Dequen, Daniel Aiham Ghazali

“…Objectives: To develop and clinically validate an explainable artificial intelligence (XAI) model for hospital admission predictions, using structured triage data, and demonstrate its real-world applicability in the ED setting. …”
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Intelligent Health Monitoring in 6G Networks: Machine Learning-Enhanced VLC-Based Medical Body Sensor Networks by Bilal Antaki, Ahmed Hany Dalloul, Farshad Miramirkhani

“…Recent advances in Artificial Intelligence (AI)-driven wireless communication are driving the adoption of Sixth Generation (6G) technologies in crucial environments such as hospitals. …”
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Predictive Modelling of nephrotoxicity from vancomycin and piperacillin-tazobactam (VPT) combination and vancomycin as monotherapy: an artificial intelligence (AI) Approach by Dr Winnie Lee, Mr William J Bolton, Mr Richard C Wilson, Professor Pantelis Georgiou, Professor Alison H Holmes, Dr Nina Zhu, Dr Timothy M Rawson

“…This study aims to develop a predictive model using an artificial intelligence (AI) approach to elucidate the relationship between vancomycin dosage, vancomycin and piperacillin-tazobactam (VPT) combination co-administration and AKI incidence. …”
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Emotional intelligence approach as a predictor of job satisfaction among midwives in Northern Iran: A descriptive-correlational study by Fatemeh Zolfaghary, Hajar Pasha, Fatemeh Bakouei, Reza MashaghiTabari, Hajar Adib-Rad

“…BACKGROUND: Emotional intelligence (EI) is an important skill for midwives. …”
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