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Scaffolding in AI-Empowered Cognitive Training Improves Outcomes in Cognitive Impairment

Scaffolding in AI-Empowered Cognitive Training Improves Outcomes in Cognitive Impairment: A Real-world Retrospective Cohort Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07788209
Enrollment
516
Registered
2026-08-26
Start date
2026-08-15
Completion date
2027-08-25
Last updated
2026-08-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Impairment

Keywords

Computerized cognitive training, Artificial intelligence, Scaffolding theory, Cognitive impairment, Personalization

Brief summary

This retrospective study aimed to validate and compare two individualized, closed-loop, AI-driven computerized cognitive training programs with a conventional non-AI training program in a real-world clinical setting. Using objective tablet-recorded data from patients' prior treatment, participants were categorized into three groups according to the training recommendation strategy they actually received. Changes in global cognitive function and specific cognitive domains after 8 weeks of training were compared across groups to evaluate the association between different training strategies and cognitive outcomes.

Interventions

BEHAVIORALAI-Based Adaptive CCT Optimized for Cognitive Improvement

Participants received a multi-domain computerized cognitive training program delivered on a tablet. The program used an AI-based adaptive, closed-loop recommendation strategy to individualize training tasks and difficulty levels, with the goal of maximizing cognitive improvement over the training period.

BEHAVIORALAI-Based Adaptive CCT Optimized for Cognitive Performance

Participants received a multi-domain computerized cognitive training program delivered on a tablet. The program used an AI-based adaptive, closed-loop recommendation strategy to individualize training tasks and difficulty levels, with the goal of maximizing cognitive task performance during training.

BEHAVIORALConventional Non-AI CCT

Participants received a conventional computerized cognitive training program delivered on a tablet. Training tasks were randomly selected within the cognitive domains corresponding to participants' symptomatic impairments and difficulty levels were fixed.

Sponsors

Xuanwu Hospital, Beijing
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
45 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* age ≥ 45 years; * a Montreal Cognitive Assessment (MoCA) score between 10 and 25; * were able to communicate in Mandarin.

Exclusion criteria

* no completion of at least 8 weeks of training; * no engagement in training for ≥ 60 minutes per week; * diagnosis of depression or other psychiatric disorders; * diagnosis of systemic diseases, such as hepatic or renal dysfunction, endocrine disorders, or vitamin deficiencies.

Design outcomes

Primary

MeasureTime frameDescription
Change in general cognitive ability from baseline (week 1) to week 8From baseline (week 1) to week 8The general cognitive ability was assessed by the Cognitive Index, calculated from task performance scores. The CCT platforms recorded the Cognitive Index in real time on a daily basis. Weekly Cognitive Index values were computed as the mean of the daily scores recorded over each 7-day period. The change in Cognitive Index from baseline to week 8 is reported.

Secondary

MeasureTime frameDescription
Changes in domain-specific cognitive ability from baseline (week 1) to week 8 across seven cognitive subdomainsFrom baseline (week 1) to week 8Seven cognitive subdomains include perception, attention, memory, language, executive function, thinking, and emotion. Domain-specific cognitive ability was calculated by averaging the scores of all tasks targeting the same cognitive domain. The change from baseline to week 8 is reported.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 27, 2026