What this means
This study plans to build a tool to predict frailty and test AI-guided counselling against usual care. It has not started recruiting, and no results have been posted yet.
Plain-English summary written by an AI model from the registry listing.
- Status
- Opening soon
- Who can join
- Ages 20 and over
- Where
- Not listed
The science
- Registered title
- AI-Enabled Frailty Risk Prediction in Adult Congenital Heart Disease
- Trial ID
- NCT07479654 ↗
- Phase
- Not applicable
- Study type
- interventional
- Conditions
- Adult Congenital Heart Disease, Symptom Clusters, Frailty, Risk Prediction Model, Artificial Intelligence-Based Voice Emotion Detection
- What is tested
- AI-Based Voice Emotion Detection-Guided Counselling, Usual Care (Control)
- Sponsor
- Mackay Memorial Hospital
- Ages
- 20 Years to no maximum
- Dates
- First posted Mar 18, 2026 · updated Mar 18, 2026
Registry summary
The goal of this three-year mixed-methods observational study with an embedded randomized controlled trial is to develop and validate a frailty risk prediction model and evaluate an artificial intelligence-based voice emotion detection-guided counselling intervention in adults with congenital heart disease (ACHD).
The main questions it aims to answer are:
Are symptom clusters associated with frailty and psychological outcomes in adults with congenital heart disease?
Can symptom clusters and psychosocial factors be used to predict frailty risk over time in ACHD patients?
Does an AI-based voice emotion detection-guided counselling intervention improve psychological outcomes, fatigue, and quality of life among high-risk ACHD patients?
Researchers will compare ACHD patients receiving AI-based voice emotion detection-guided counselling with those receiving usual care to determine whether the intervention reduces depression, anxiety, sleep disturbance, fatigue, and frailty risk, and improves grit and quality of life.
Participants will:
Complete longitudinal assessments of symptom clusters, frailty, and psychological status at baseline and follow-up time points
Participate in qualitative interviews to explore lived experiences related to symptoms and frailty
Receive AI-based voice emotion detection-guided counselling (intervention group only in Year 3)