AIGC-driven virtual patients for diabetes: a systematic review
Authors' conclusion
An empirical mapping of included studies onto a three-dimensional maturity framework reveals that while 92% of studies achieve technical validation, none demonstrate implementation maturity and only one has prospective evidence of clinical efficacy.
Study context
- Population
- Studies applying AIGC to develop virtual patients for diabetes management
- Outcome
- Maturity of included studies on a three-dimensional maturity framework
Pooled result
As reported in the abstract
Studies achieving technical validation
92%
Studies demonstrating implementation maturity
0
Studies with prospective evidence of clinical efficacy
1
Further pooled results
Validation evidence
- Validation remains primarily retrospective, with limited prospective trials reporting diabetes-specific endpoints like TIR and hypoglycemia metrics
Implementation barriers
- Data privacy concerns, model generalizability across diabetes subtypes and clinical workflow integration
Original publication
AIGC-driven virtual patients for diabetes: a systematic review. Diabetes Res Clin Pract. Published 21 April 2026. doi:10.
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