Evidence Passport
Machine learning-based computerized adaptive testing of PHQ-8 and GAD-7 in psychiatric outpatients
Top story 4 in the issue of 25 October 2026, in 17 AI Psychology.
Original source
Machine learning-based computerized adaptive testing of PHQ-8 and GAD-7 in psychiatric outpatients
Singapore researchers built adaptive versions that asked a median of two questions per scale yet matched full-scale scores almost exactly and tracked change over a year.
Evidence
Evidence: Peer-reviewed (evidence step 5 of 6)
Published after review by independent experts.
The story in three lines
- Key finding
- Adaptive tests cut items by 66–71% while correlating 0.996–0.997 with full PHQ-8 and GAD-7 scores.
- Significance
- Clinical: shorter symptom checks could make routine monitoring easier in busy outpatient clinics.
- Takeaway
- Built and tested in one Singapore cohort; external validation is still needed.
Study details (as stated by the source)
- Study design
- Longitudinal outpatient cohort, 10-fold cross-validation
- Outcomes
- Agreement with full-scale scores and change detection
Later coverage in the journal
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