TMU study shows trust shapes how future dietitians use AI tools in nutrition education

Summary

A recent study led by researchers at Taipei Medical University(TMU) examines how trust affects AI use in nutrition education, particularly the actual use of AI chatbots among dietetic students. The findings suggest that students are more likely to integrate AI tools into their learning when they perceive them as reliable and useful, highlighting the importance of building digital literacy and critical thinking skills alongside technical training in healthcare education.

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AI in Nutrition Education: Why Trust Matters for Future Dietitians

As artificial intelligence becomes increasingly embedded in healthcare, universities face a new challenge: preparing future professionals not only to use AI tools, but to use them wisely. For students in nutrition and dietetics, this means learning how to engage with AI chatbots and digital assistants that can provide dietary information, support clinical reasoning, and streamline learning tasks.

At Taipei Medical University, researchers set out to understand a key factor behind students’ willingness to adopt these technologies: trust. While AI tools such as chatbots are widely available, not all students choose to use them in their studies or future practice. Understanding what drives real-world adoption is crucial for designing effective digital health education.

Trust as a driver of AI adoption

The study explored how dietetic students perceive and use AI chatbots as virtual nutrition assistants. Rather than focusing only on whether students had access to AI tools, the research examined the psychological and behavioral factors that shape actual usage.

The results showed that trust plays a central role. Students who believed that AI tools were reliable and helpful were significantly more likely to incorporate them into their learning. In contrast, students who were uncertain about the accuracy or appropriateness of AI-generated information tended to use these tools less, even when they were readily available.

This finding suggests that simply introducing AI into classrooms is not enough. How students perceive these tools—and whether they feel confident evaluating AI-generated information—can strongly influence whether AI becomes a meaningful part of their learning process.

Beyond technical skills: building critical digital literacy

The research highlights an important implication for medical and health professions education. Training future healthcare professionals to work with AI requires more than teaching them how to operate digital tools. Students must also develop the ability to critically assess AI outputs, understand limitations and potential biases, and integrate algorithmic suggestions with professional judgment.

In nutrition education, where advice can directly affect patient health, this balance is especially important. AI chatbots may offer rapid access to information, but students still need to evaluate whether recommendations are evidence-based and appropriate for individual patients.

Implications for AI-enabled healthcare education

As AI-supported systems become more common in hospitals and clinics, students who are comfortable working with digital tools—and who understand both their value and their limitations—will be better prepared for future practice. The study suggests that universities should place greater emphasis on fostering trust through transparent AI use, clear guidance on ethical and safe applications, and training that strengthens students’ confidence in navigating AI-supported environments.

By addressing both the technical and human dimensions of AI adoption, institutions like Taipei Medical University aim to cultivate healthcare professionals who can work alongside intelligent systems while maintaining professional responsibility and patient-centered care.

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Original Article: Trust Predicts Actual Use of AI Chatbot as a Virtual Nutrition Assistant Among Dietetic Students in Taiwan: A Path Analysis