− HEALTH — A reasoning model hit 88.6% diagnostic accuracy on clinicopathological cases. In the same window, a five-hosp…+ HEALTH — A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases.+ EDUCATION — Small-scale district pilots report gains for students who previously had no outside tutoring access.− POLICY — Post-market monitoring standards for clinical AI tools remain unsettled as clearances accelerate.− LABOR — The labor market's two truths: large projected role creation and concentrated, measurable displacement.− LABOR — Employment for coders aged 22–25 has fallen roughly 20% against its late-2022 peak.+ LABOR — New AI-adjacent skills already carry wage premiums in 1 of every 10 job postings in advanced economies.− LABOR — Current estimates vary 5x depending on methodology.
Sunday, July 12, 2026
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Other·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

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/.

The quick read

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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