Trust in Medical AI: The Case of mHealth Diabetes Apps

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.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2025-08-01
DOI
https://doi.org/10.1111/jep.70216
Citations
1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
2.82

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article

Trust in Medical AI: The Case of mHealth Diabetes Apps

Daniele Chiffi, Stefano Canali, Sophie Materne
1 citations
Journal of Evaluation in Clinical Practice
Mobile Health and mHealth Applications
2.82
article

Trust in Medical AI: The Case of mHealth Diabetes Apps

Daniele Chiffi, Stefano Canali, Sophie Materne
article en
1 citations

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.

Journal of Evaluation in Clinical PracticeVol. 31(5)
Politecnico di Milano (IT)
Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
2.82
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