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Health·General·Published 2026-07-11

966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study

Abstract: Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...

TRV-2026-0016Peer-reviewedPermanent record — cite & verify
966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study

"Continuous glucose monitoring" by Caipira ergänzt. Eschl is licensed under CC BY 3.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/3.0/.

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Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control.

Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...

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Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...

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