Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Trust in Medical AI: The Case of mHealth Diabetes Apps
1
Zitationen
3
Autoren
2025
Jahr
Abstract
Over the past few years, mobile health applications (mHealth apps) have gained popularity regarding the management of chronic conditions, such as diabetes, as they are considered to enhance follow-up and treatment. Indeed, these applications are powerful tools that support individualised pharmaceutical and non-pharmaceutical care by remotely monitoring the patient's health status in real-time. Nevertheless, concerns have been raised regarding trust and trustworthiness towards their use, in particular, when they are powered by Artificial Intelligence (AI). Trust in AI is a multifaceted notion that encompasses aspects such as reliance, risk, as well as ethical principles (e.g., respect for human autonomy and prevention of harm). In this paper, we provide an analysis of trust and trustworthiness in AI-powered mHealth apps for diabetes through the lens of philosophy and risk analysis to promote the patient's well-being.
Ähnliche Arbeiten
World Health Organization 2020 guidelines on physical activity and sedentary behaviour
2020 · 10.318 Zit.
Health literacy and public health: A systematic review and integration of definitions and models
2012 · 5.810 Zit.
Low Health Literacy and Health Outcomes: An Updated Systematic Review
2011 · 5.200 Zit.
Health Literacy
2004 · 3.410 Zit.
The evolving concept of health literacy
2008 · 2.798 Zit.