Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation
https://www.nature.com/articles/s41366-026-02119-x
Publish Date: 2026-06-01 08:26:00
Source Domain: www.nature.com
- Significant advancements in using artificial intelligence (AI) for diabetes and cardiovascular-kidney-metabolic health management are highlighted, including AI-driven closed-loop systems and predictive algorithms.
- AI is playing an essential role in chronic disease management, particularly in predicting complications such as diabetic kidney disease and cardiovascular diseases.
- Emerging AI technologies are being integrated into diabetes management through tools like continuous glucose monitors, automated insulin delivery systems, and AI-based chatbots.
- AI technologies are being leveraged to enhance patient education, automate insulin delivery, and improve health literacy through AI chatbots and virtual diabetes clinics.
- Ethical considerations, bias mitigation, and patient consent remain central themes in the deployment of AI in healthcare settings.
- The integration of AI in healthcare also emphasizes the importance of data privacy, transparency, and adherence to regulatory standards.
- The broader implications of AI in healthcare focus on improving health equity and addressing social determinants of health to enhance overall population health.
