7. Support personalized self-care
AI technology is not only transforming clinical workflows, but also enabling individuals to take a more active role in their own health and well-being. With continuous data-driven insights, AI can enable proactive health monitoring and help people better understand how lifestyle factors such as sleep, diet and physical activity influence their overall health. As healthcare becomes increasingly connected, these tools can complement professional care with more personalized personal care, supporting better prevention, early detection and management of chronic diseases.
Virtual health assistants are an example of this change (4). By combining conversational interfaces with advanced AI models, they can provide personalized reminders, advice and mental health support, helping patients stay engaged in their treatment plans. When integrated into broader care pathways, they could provide a bridge between self-management and professional oversight, potentially improving both patient engagement and health outcomes.
At the same time, the integration of AI into personal health monitoring raises important questions regarding data security, privacy and psychological well-being. Excessive surveillance could lead to unnecessary anxiety, and protecting sensitive patient information remains paramount (5). To build trust, increase AI adoption, and ensure responsible use, we must apply sound ethical principles that protect privacy while preserving the benefits of AI-based technologies for patients and healthcare professionals.