Artificial Intelligence in Healthcare

Redefining Hypertension Therapy in 2036: Precision, Permanence,and Prevention

by Prateek Chopra | June 5, 2026 | Cardiology Conferences | ESH 2026 Emerging Paradigm: Hypertension affects ~1.3 billion people worldwide, yet fewer than 25% achieve adequate BP control. Poor medication adherence, especially with polypharmacy, remains a critical barrier. This review explores whether hypertension therapy requires reinvention and evaluates emerging pharmacological, device-based, and AI-driven strategies poised to transform care by 2036. […]

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FiberMore: A Generative AI-Enabled Behavior Change Intervention to Improve Dietary Fiber Intake and Glycemic Management in Individuals with Type 2 Diabetes

by Prateek Chopra | July 3, 2026 | Diabetes Conferences | ADA 2026 Digital Health Innovation Methods Key Findings Glycemic Outcomes Role of AI-Driven Behavior Change Clinical Implications The FiberMore app significantly increased dietary fiber intake and was associated with improvements in glycemic control among adults with T2D. These findings support the potential of AI-powered digital tools to enhance dietary

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Toward Standardized Type 2 Diabetes Treatment Decisions: Diabetologist Evaluation of an Evidence-Citing Agentic AI for Real-World Care

by Prateek Chopra | June 28, 2026 | Diabetes Conferences | ADA 2026 Innovation Overview Key Functionalities Evaluation Approach Clinician Acceptability Ratings (Score ≥4) Key Findings Clinical Implications The agentic AI system generated evidence-based T2D treatment recommendations with high clinician acceptability across multiple decision-making domains. These findings highlight its potential to support standardized, reliable, and evidence-informed diabetes care in clinical

Toward Standardized Type 2 Diabetes Treatment Decisions: Diabetologist Evaluation of an Evidence-Citing Agentic AI for Real-World Care Read Post »

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