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AIGC-driven virtual patients for diabetes: a systematic review.
Yu Tang1, Guanghua Wen1, Huiqun Wu2
1Department of Medical Informatics, Medicine School of Nantong University, Nantong 226001, China.
Diabetes Research and Clinical Practice
|April 23, 2026
Summary
Artificial Intelligence-Generated Content (AIGC) shows promise for creating virtual patients (VPs) in diabetes care. However, most applications lack real-world clinical validation and face implementation challenges.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Diabetes Management Technology
Background:
- Virtual patients (VPs) are crucial for medical education and clinical decision support.
- Diabetes management requires sophisticated tools for personalized treatment and complication monitoring.
- Artificial Intelligence-Generated Content (AIGC) offers novel methods for creating complex medical simulations.
Conclusions:
- AIGC holds potential for advancing diabetes management through sophisticated VPs.
- Significant gaps remain in prospective validation, clinical integration, and addressing data privacy and bias.
- Interdisciplinary collaboration is essential to bridge the gap between AIGC innovation and clinical application.
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