GenAI

Can “Vibe Coding” Turn Health Professionals into App Builders?

This study explored whether vibe coding, building software by describing it in natural language to a generative AI tool, enables health professionals without programming skills to develop digital health applications. In a three-hour workshop, medical students built working mHealth prototypes for dementia care challenges. Every group succeeded, but none of the prototypes protected users' health data, showing that this democratisation...

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Designing Chatbots for Depression Screening: Lessons from Research and Practice

We explored the design of chatbots for depression screening, leveraging advancements in natural language processing and artificial intelligence. Using a research-through-design approach, we developed a chatbot prototype that integrates the Patient Health Questionnaire (PHQ-9), a validated depression screening tool. Our findings emphasize the importance of ethical considerations, tailored personality design, effective conversational flow, and predictability to ensure safety and user...

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Leveraging Generative AI to Speed Up Systematic Reviews of mHealth Apps

This study explores the potential of generative AI, specifically ChatGPT, to automate time-intensive tasks involved in systematic reviews of mHealth apps. Using Design Science Research, we co-created a Python script with ChatGPT to streamline the process. While the output was a functional intermediate result, it required further refinement for full automation. The findings highlight the feasibility and limitations of using...

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