Paradigm Shift from Traditional Care to AI-Enabled CGM-Driven Precision Management (IMAGE)

Chinese Medical Journals Publishing House Co., Ltd.

Paradigm Shift from Traditional Care to AI-Enabled CGM-Driven Precision Management

Caption

Conceptual framework of the paradigm shift from traditional care to AI-enabled CGM-driven precision management. Traditional care (left) involves episodic glucose monitoring and reactive, population-level strategies. AI-enabled CGM analytics (center) integrate continuous glucose data with multimodal inputs (e.g., physical activity and nutrition). This facilitates a transition toward predictive, proactive, and individualized care (right), encompassing glucose forecasting, phenotypic clustering, and personalized therapeutic adjustments.

Credit

Professor Jian Zhou from Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, China Image link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004229~artificial-intelligence-meets-continuous-glucose-monitoring

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