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AbstractPublic health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence ...

This study examines the legal status and implications of Bitcoin ownership as a medium of exchange within Indonesia's evolving digital financial system. In light of persistent regulatory ambiguity, the research seeks to ...

Abstract Clinical text de-identification enables the use of electronic health records while protecting patient privacy, but public training data remain scarce and often have mismatched documentation styles. Recent works ...

In this paper, I am attempting to throw into relief significant aspects of the function of television debate as a public sphere. My working assumption is that public dialogue, including its televised versions, involves p...

Abstract Background Medication management at hospital discharge is particularly complex for older patients with multimorbidity, with additional communication challenges arising from both patient and healthcare-related fa...

ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and model integrity. We present a model‐inversion‐resistant physical unclon...

Abstract Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence (AI) models and conducting retrospective clinical research. However, multimodal datasets...

ABSTRACT Background and Aims Respectful maternity care (RMC) is an essential component of high‐quality maternal healthcare and a fundamental human right, ensuring that women experience childbirth with dignity, privacy,...

En este artículo se analiza el impacto, potencialidades, desafíos y perspectivas a futuro del uso de algoritmos de Machine Learning (ML) en psicología clínica, con un enfoque en la investigación básica y la aplicac...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

Abstract The development of Artificial Intelligence (AI) is rapidly advancing, and AI tools are being integrated into many aspects of daily life, including medical care and public health. The full extent to which AI rela...

This study offers a normative reconstruction of the Indonesian Criminal Procedure Code (KUHAP) to explicitly regulate electronic monitoring devices as the least restrictive alternative to conventional detention, ensuring...

What is new? In the current evolving research landscape, the implementation of academic research has expanded into a complex and active paradigm. Research and its output are expected not only to be robust and innovat...

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review...

ABSTRACT Background and Aims Improving the quality of care is essential for enhancing utilization and compliance with interventions, ultimately reducing preventable mortality and morbidity among women and newborns during...

Abstract Background Frail older adults in rural Bangladesh face a high burden of unmanaged depression and anxiety due to limited access to mental health care. Tele-mental health services offer a promising alternative to ...

Aim: This study aims to examine the impact of internet literacy self-efficacy on digital health literacy among university students enrolled in health-related education programs. Method: The research was conducted with 28...

Social media advertisements can influence consumers' purchasing preferences by impacting their awareness, attitude, trust, and intention towards the advertised products, services, or brands. This study aims to achieve tw...

Abstract Objectives This dataset was specifically collected to support the development and evaluation of computer-aided diagnosis (CAD) systems for breast cancer detection. The dataset, Ma’amon Diagnostic Center Mammog...

The current advancement in information technology brings convenience to users, especially in accessing the internet, including through mobile devices like smartphones. The rapid growth in internet usage, particularly via...

Abstract The rapid adoption of encrypted communication protocols has raised privacy levels but has also dealt a significant blow to traditional intrusion detection systems that rely on payload inspection for anomaly dete...

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Fil: Winocur, Rosalía. Universidad Autónoma Metropolitana. Departamento de Educación y Comunicación; México. En este artículo se analiza críticamente el estatus epistemológico de las denominadas etnografías de ...

Materias / palabras clave: Computer science; Internet of Things; The Internet; Multimedia; World Wide Web; Human–computer interaction; Computer security; Internet privacy