Insights From a User Experience‐Focused Virtual Study on the Feasibility and Challenges of Decentralized Clinical Trials by Yue Ma, Le Li, Gaili Gao, Huan Zhou, Jianmiao Yang, Jiao Zheng, Li Zheng, Lu Zhang, Min Jiang, Pu Li, Wenjing Zhou, Xia Chen, Ying Wang, Weiyi Zheng, Yan Zhang

“…Standard procedures were developed for each DCT element, addressing issues like identity verification and data privacy based on user perspectives. This study provided insights on implementing DCTs in China, identifying areas that need optimization to meet local regulatory and stakeholders' requirements. …”
Get full text

Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…Villages with similar characteristics are classified into the same category, with the analysis of variance (ANOVA) being further used to explore the differences between these categories. …”
Get full text

Leveraging machine learning in nursing: innovations, challenges, and ethical insights by Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam

“…However, key challenges include ethical considerations, such as data privacy, algorithmic bias, and patient autonomy, which necessitate ongoing research and regulatory oversight.ConclusionsML in nursing offers transformative potential across patient care, education, and operational efficiency, which is balanced by significant challenges and ethical considerations. …”
Get full text

Cross-Domain Feature Enhancement-Based Password Guessing Method for Small Samples by Cheng Liu, Junrong Li, Xiheng Liu, Bo Li, Mengsu Hou, Wei Yu, Yujun Li, Wenjun Liu

“…As a crucial component of account protection system evaluation and intrusion detection, the advancement of password guessing technology encounters challenges due to its reliance on password data. In password guessing research, there is a conflict between the traditional models’ need for large training samples and the limitations on accessing password data imposed by privacy protection regulations. …”
Get full text

Generative AI/LLMs for Plain Language Medical Information for Patients, Caregivers and General Public: Opportunities, Risks and Ethics by Pal A, Wangmo T, Bharadia T, Ahmed-Richards M, Bhanderi MB, Kachhadiya R, Allemann SS, Elger BS

“…There are ethical concerns that overreliance/unsupervised reliance on gAI/LLMs could lead to the “humanizing” of these models and pose a risk to patient health equity, inclusiveness and data privacy. For these technologies to be truly transformative, they must become more transparent, have appropriate governance and monitoring, and incorporate feedback from healthcare professionals (HCPs), patients, and other experts. …”
Get full text

Energy-Efficient Office Renovation by Minyoung KWON

“…Indoor climate and users’ thermal comfort Indoor temperature and humidity were measured by using data loggers to identify the condition of the indoor climate for users’ thermal comfort after renovation. …”
Get full text

Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…Challenges include data quality, patient privacy, and the need for specialized personnel. …”
Get full text

Sustainable E-Health: Energy-Efficient Tiny AI for Epileptic Seizure Detection via EEG by Moez Hizem, Mohamed Ould-Elhassen Aoueileyine, Samir Brahim Belhaouari, Abdelfatteh EL Omri, Ridha Bouallegue

“…This study aimed to (i) Develop a TinyML workflow that details the steps for model creation and deployment in resource-constrained environments and (ii) apply the workflow to e-health applications for the real-time detection of epileptic seizures using electroencephalography (EEG) data. The methodology employs a dataset of 4097 EEG recordings per patient, each 23.5 seconds long, from 500 patients, to develop a robust and resilient model. …”
Get full text

Development of a matching framework for voluntary services provided to home-dwelling older adults by nursing faculty and students based on the Kano model by Lei Huang, Weihong Yang, Lina Wang, Pei Wang, Yan Lin, Shuyao Hui, Peng Wang, Xiang Sun, Yue Yao, Rui Chen, Fengjian Zhang, Lulu Liao, Yilan Liu, Chunyan Guan

“…However, evidence is limited on how to align their needs with the service intentions of nursing faculty and students to develop appropriate frameworks. Methods Data were collected through self-designed demand-supply matching questionnaires from nursing faculty and students (March 26 - April 25, 2023) and older adults (May 24 - July 7, 2023) using convenience sampling. …”
Get full text

Conditions for and potential solutions associated with continuity of care for patients with complex care needs across Swedish regions with differing population densities by Linda Ljungholm, Charlotte Klinga, Mirjam Ekstedt, Anette Edin-Liljegren, Elin-Sofie Forsgärde

“…Method Secondary analysis was conducted using qualitative content analysis on interview data from two studies, consisting of 53 transcripts from individual, pair, and focus group interviews held between August 2018 and November 2019. …”
Get full text

Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Exposure therapy for anxiety and trauma is increasingly using virtual reality environments. Although digital mental health therapies face challenges in relation to data privacy, limited long‐term efficacy, and technological inequality, digital technologies are modernizing mental healthcare. …”
Get full text

Human immunodeficiency virus prevention and testing strategies among men who have sex with men in the UK: the PANTHEON research programme including the SELPHI RCT by Janey Sewell, T Charles Witzel, David Dunn, Fiona Lampe, Fiona Burns, Peter Weatherburn, Sheena McCormack, Leanne McCabe, Alec Miners, Valentina Cambiano, Roger Pebody, Roy Trevelion, Nadia Hanum, Andrew Phillips, Alison Rodger

“…During the pilot phase, we conducted a mixed-methods study to assess trial feasibility and intervention acceptability using quantitative data from advertising sources and RCT surveys alongside qualitative data from a nested substudy. …”
Get full text

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…This article provides a meticulous and comprehensive review of imaging-based SARS-CoV-2 diagnosis using deep learning techniques up to May 2024. This article starts with an overview of imaging-based SARS-CoV-2 diagnosis, covering the basic steps of deep learning-based SARS-CoV-2 diagnosis, SARS-CoV-2 data sources, data pre-processing methods, the taxonomy of deep learning techniques, findings, research gaps and performance evaluation. …”
Get full text

The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…For example, AI-driven analyses may reveal that regions with higher diabetes prevalence particularly benefit from targeted nutritional education programs, resulting in a 10% decrease in new diabetes cases.6Despite the promising advancements in AI applications within healthcare, it is essential to address ethical considerations and ensure data privacy during implementation. Establishing transparent policies, robust security protocols, and ethical guidelines is vital for safeguarding patient information and fostering trust in AI-driven solutions. …”
Get full text

Artificial intelligence and machine learning in acute respiratory distress syndrome management: recent advances by Songbei Li, Songbei Li, Ruiming Yue, Sen Lu, Jingchao Luo, Xiaoxiao Wu, Zhao Zhang, Mingzong Liu, Yuxin Fan, Yuxin Fan, Yuxuan Zhang, Yuxuan Zhang, Chun Pan, Xiaobo Huang, Hongli He

“…We explore diverse AI/ML applications, including early prediction and diagnosis using multi-modal data (electronic health records [EHR], imaging, ventilator waveforms), advanced prognostic assessment and risk stratification that outperform traditional scoring systems, and precise identification of ARDS subtypes to guide personalized treatment. …”
Get full text

Providing a customer satisfaction model of non-attendance services in the social security organization by Hossein Barzgar, Vahid Sanavi Garoosiyan, ali hossein zadeh

“…The variable of customer satisfaction with non-attendance services includes 4 dimensions of infrastructures, culture building, reforming structures, and creativity and innovation.Research findingsSPSS software was used to analyze the data of this research, and Lisrel software was used to fit the conceptual model of the research. …”
Get full text

Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Ethical AI Considerations: Addressing ethical concerns such as data privacy, fairness, and biases in AI systems to ensure responsible use. 6. …”
Get full text

Mental Health in the Age of Hyperconnectivity: A Crisis Hidden in Plain Sight by Sitara Ejaz, Hafiz Muhammad Haseeb Khaliq

“…They reported the spectrum of emotional exhaustion, inability to ‘log off,’ and the excessive use of digital platforms even on evenings and weekends. …”
Get full text

Feasibility and acceptability of implementing the Global Scales for Early Development (GSED) package for children 0–3 years across three countries by Ambreen Nizar Merchant, Raghbir Kaur, Gareth McCray, Vanessa Cavallera, Ann Weber, Melissa Gladstone, Magdalena Janus, Imran Nisar, Patricia Kariger, Sunil Sazawal, Arup Dutta, Salahuddin Ahmed, Yunting Zhang, Mariana Pacifico Mercadante, Arsene Zongo, Yvonne Schönbeck, Tarun Dua, Iris Eekhout, Fahmida Tofail, Maureen Black, Abdullah H. Baqui, Dana McCoy, Farzana Begum, Romuald Kouadio E. Anago, Alexandra Brentani, Fan Jiang, Symone Detmar, Michelle Perez Maillard, Marcus Waldman, Stef van Buuren, Abbie Raikes, Katelyn Hepworth, Marta Rubio Codina, Shirina Akhtar, Fyezah Jehan, Rasheda Khanam, Hassan Naqvi, Abrarul Haque Asif, Junaid Mehmood, Sidra Afzal, Gillian Lancaster

“…Implementation challenges reiterated the need to develop a more comprehensive training module covering GSED administration and other topics, including the consent process, rapport building, techniques for maintaining privacy and preventing distraction, and using didactic and interactive learning modes. …”
Get full text

A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification by Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li

“…Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background. …”
Get full text