Exploring barriers to adoption of telemedicine platforms in rural Nigerian communities [0.03%]
探索尼日利亚农村社区采用远程医疗平台的障碍
Akinade Adebowale Adewojo,Precious Olalere
Akinade Adebowale Adewojo
Telemedicine holds significant potential to transform healthcare delivery in rural Nigerian communities; however, its adoption remains constrained by various barriers. This study explores patient-level barriers, including technological acce...
Effective lung nodule segmentation and classification by employing a SPPUNet model and global context attention-based InceptionV3 [0.03%]
基于全局上下文注意力机制的InceptionV3和SPPUNet模型在肺结节分割与分类中的有效应用研究
Krishna Kumari L,Rajalakshmi R
Krishna Kumari L
Lung nodules (LNs) detection using computer tomography (CT) images is essential to reduce the mortality of lung cancer (LC). The complex three-dimensional structure of lung CT data and the variation in the forms and appearances of LNs make ...
Correction [0.03%]
改正_spacing_错误
Published Erratum
Informatics for health & social care. 2026 Jan 20:i-iii. DOI:10.1080/17538157.2025.2610145 2026
A chronic kidney disease prediction system based on Internet of Things using walrus optimized deep learning technique [0.03%]
一种基于物联网海象优化深度学习技术的慢性肾病预测系统
Sakthimohan M,Thenmozhi M,Elizabeth Rani G et al.
Sakthimohan M et al.
The Internet of Things (IoT) and cloud computing (CC) concepts are commonly incorporated in healthcare applications. In the healthcare industry, a huge quantity of patient data is generated by IoT devices. The integral storage of mobile dev...
Developing an ageing adaptable emotional virtual human: an AI-based approach [0.03%]
基于人工智能的情感虚拟人研究：以适应老年人需求为例
Yuyuan Peng
Yuyuan Peng
The research aims to explore the theoretical aspects of using a virtual digital person as an emotional companion and to reveal the possibilities offered by the synthesis of design, AI, computer science, and modern technologies. Analytical m...
Evaluating mobile patient portals from a health behavioral change support perspective: mining user feedback using topic modeling [0.03%]
从促进健康行为改变支持的角度评价移动患者门户：使用主题模型挖掘用户反馈
Abdullah Wahbeh,Mohammad Al-Ramahi,Cherie Noteboom et al.
Abdullah Wahbeh et al.
Information systems are increasingly playing a major role in the cost-effective delivery of healthcare services. Recently, the healthcare industry has shifted its focus toward patient-centered care, in which patients play a major role in ma...
Enhancing privacy and security in Federated learning protecting electronic health records data from adversarial attacks [0.03%]
增强联合学习中的隐私和安全保护电子健康记录数据免受恶意攻击的影响
Burra Lalitha Rajeswari,A S N Chakravarthy
Burra Lalitha Rajeswari
Federated Learning (FL) is a revolutionary approach to machine learning that allows multiple institutions, such as healthcare organizations, to collaboratively train models without sharing sensitive data directly. The problem involves prote...
Digital mapping of health-related quality of life research in non-communicable diseases: a topic modeling and bibliometric synthesis for policy and practice [0.03%]
非传染性疾病相关生命质量研究的数字地图：政策和实践的话题模型与文献计量合成分析
Richa Jha,Geeta Sachdeva
Richa Jha
As requested, the abstract has been edited under word limits with 196 words - Health-related quality of life (HrQoL) has emerged as a key metric in the management of non-communicable diseases (NCDs), reflecting the global shift from acute i...
A dynamic decision support system to tackle the spread of COVID-19: predictive and clustering approaches [0.03%]
一种用于应对COVID-19传播的动态决策支持系统：预测和聚类方法
Amirreza Salehi,Ardavan Babaei,Vladimir Simić et al.
Amirreza Salehi et al.
This study proposes a novel Dynamic Decision Support System (DDSS) framework aimed at enhancing countries' pandemic preparedness through robust forecasting and adaptive clustering analysis of Coronavirus Disease 2019 (COVID-19) data. The fo...
Exploring the relationship between health professionals' artificial intelligence literacy and their attitudes toward artificial intelligence [0.03%]
探究卫生专业人员的人工智能素养及其人工智能态度之间的关系
Hüseyin Çapuk,Muhammet Faruk Yiğit,Mehmet Uçar
Hüseyin Çapuk
This study aims to determine the relationship between health professionals' artificial intelligence (AI) literacy and their attitudes toward AI. This descriptive and correlational study was conducted between May and July 2024 in an educatio...