[Hiroshima Prefecture Kitahiroshima Town × Hiroshima University × Ad-dice] Report on "AI for Mental Healthcare" Proof-of-Concept Experiment

Ad-dice, in collaboration with Kitahiroshima Town and Hiroshima University, reported that their three-month experiment using AI to monitor mental health successfully prompted participants to make positive lifestyle changes, suggesting the potential for AI to improve mental well-being.
Project ReportNQ 92/100出典：PR Times

📋 Article Processing Timeline

  • 📰 Published: May 20, 2026 at 20:00
  • 🔍 Collected: May 20, 2026 at 11:31
  • 🤖 AI Analyzed: May 22, 2026 at 15:32 (52h 0m after Collected)
Ad-dice Inc., in partnership with Kitahiroshima Town and Hiroshima University, has reported the final results of its "Mental Health DX" proof-of-concept experiment. The approximately three-month study suggested that visualizing objective data with healthcare AI (ResQ AI) can encourage autonomous behavioral changes among participants, potentially improving their mental risk factors. The experiment successfully detected early signs of mental fatigue that annual stress checks might miss and confirmed that participants who received weekly reports improved their mental scores by increasing their daily steps or sleep duration. This approach demonstrates a promising way to complement traditional mental health checks and promote well-being.

FAQ

What was the purpose of this experiment?

The experiment aimed to verify if AI could detect early signs of mental distress, if weekly reports could encourage autonomous behavioral changes to improve stress resilience, and to objectively monitor lifestyle patterns like sleep.

Who participated in the experiment?

A total of 34 people participated, including employees from the Kitahiroshima Town Office, Hiroshima Eagle Co., Ltd., and the JMS Chiyoda Factory.

What were the key findings of the experiment?

The AI successfully detected signs of mental fatigue that annual stress checks might miss. Furthermore, participants who received weekly reports with their data made positive behavioral changes, such as increasing walking distance or sleep time, which led to significant improvements in their mental health scores.

How did the AI technology work?

The system used smartwatches (ResQ Band / FitBit) to continuously collect vital data, which was then analyzed by the healthcare AI 'ResQ AI'. The AI generated mental health scores and personalized advice, which were delivered to participants in weekly reports.

What challenges were identified for wider implementation?

For public implementation, challenges include potential resistance to sharing mental health information, the cost of introduction, and the need for ethical considerations regarding data usage.

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