It cannot be deniable that smartphone apps have grown exponentially and are playing a crucial role in the response to the COVID-19 pandemic in many countries. This paper aims to investigate data privacy, regulations and legal issues on COVID-19 tracking apps. A literature search will be followed the PRISMA guidelines extension for a scoping review. The search will be conducted on PubMed and Google Scholar. A total of 38 articles from 7,626 articles were reviewed. Mostly articles report on data privacy. Not many articles report on regulations and legal issues. However, there are many challenges on COVID-19 applications such as security risks, privacy issues, political, ethical, and legal risks, and standardization issues.
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http://dx.doi.org/10.3233/SHTI210940 | DOI Listing |
Med Image Anal
March 2025
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address:
Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model collaboratively without privacy leakage. However, current studies have shown that data heterogeneity incurs local learning bias in classifiers and feature extractors of client models during local training, leading to the performance degradation of a federation system. To address these issues, we propose a novel framework called Federated Bias eliMinating (FedBM) to get rid of local learning bias in heterogeneous federated learning (FL), which mainly consists of two modules, i.
View Article and Find Full Text PDFGlob Public Health
December 2025
Department of Health Promotion and Education, School of Public Health, University of Zambia, Lusaka, Zambia.
This study aimed to identify the level of male involvement and factors associated with male involvement in the Prevention of Mother-to-Child Transmission of HIV. The study used an explanatory sequential mixed-methods design to assess male involvement in a sample of 566 women aged 18 and above. The study was conducted at three health facilities.
View Article and Find Full Text PDFJMIRx Med
March 2025
Stelmith, LLC, 2333 Aberdeen Pl, Carollton, TX, 75007, United States, 1 9459001314.
Background: The increasing integration of artificial intelligence (AI) systems into critical societal sectors has created an urgent demand for robust privacy-preserving methods. Traditional approaches such as differential privacy and homomorphic encryption often struggle to maintain an effective balance between protecting sensitive information and preserving data utility for AI applications. This challenge has become particularly acute as organizations must comply with evolving AI governance frameworks while maintaining the effectiveness of their AI systems.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Inverness College, University of the Highlands and Islands, Inverness, GB.
Background: Artificial intelligence (AI) is rapidly transforming healthcare, offering significant advancements in patient care, clinical workflows, and nursing education. While AI has the potential to enhance health outcomes and operational efficiency, its integration into nursing practice and education raises critical ethical, social, and educational challenges that must be addressed to ensure responsible and equitable adoption.
Objective: This umbrella review aims to evaluate the integration of AI into nursing practice and education, with a focus on ethical and social implications, and to propose evidence-based recommendations to support the responsible and effective adoption of AI technologies in nursing.
Rheumatol Ther
March 2025
Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Introduction: Long-term treatment of psoriatic arthritis (PsA) is required to prevent progression. However, persistence with current treatments is challenging due to tolerability and acceptability issues. The objective of this study was to estimate 1-year persistence with secukinumab in patients with PsA treated with secukinumab, to compare persistence rates between secukinumab and adalimumab, to estimate usefulness rates, and to document adverse events.
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