Materne Sophie, Canali Stefano, Chiffi Daniele
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
DAStU, Politecnico di Milano, Milan, Italy.
J Eval Clin Pract. 2025 Aug;31(5):e70216. doi: 10.1111/jep.70216.
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.
在过去几年中,移动健康应用程序(mHealth应用)在慢性病管理方面,如糖尿病管理,越来越受欢迎,因为它们被认为能加强随访和治疗。事实上,这些应用程序是强大的工具,通过实时远程监测患者的健康状况,支持个性化的药物和非药物护理。然而,人们对其使用的信任和可信度提出了担忧,特别是当它们由人工智能(AI)驱动时。对人工智能的信任是一个多方面的概念,包括依赖、风险以及伦理原则(例如,尊重人类自主权和预防伤害)等方面。在本文中,我们通过哲学和风险分析的视角,对人工智能驱动的糖尿病mHealth应用中的信任和可信度进行分析,以促进患者的福祉。