Algor-Ethics in Diabetes Care: Mapping the Route

Area of Science:

• Digital Health Technologies
• Medical Informatics
• Bioethics

Background:

• Diabetes mellitus is a complex global health issue, often linked with obesity and cardiovascular diseases.
• Effective diabetes management relies on integrating diverse patient data for personalized treatment.
• Artificial intelligence (AI) and algorithmic systems are increasingly used to aid clinical decisions in diabetes care.

Purpose of the Study:

• To explore the foundational concepts of Algor-ethics in diabetes care.
• To analyze the current integration of AI in managing diabetes.
• To highlight the ethical and epistemic implications of AI-driven decision-making in complex diabetes cases.

Main Methods:

• Literature review on AI in diabetes management.
• Analysis of ethical frameworks for algorithmic decision-making.
• Exploration of Algor-ethics principles applied to patient care.

Main Results:

• AI integration in diabetes care presents both opportunities for improved outcomes and significant ethical challenges.
• Algorithmic decision-making may lack transparency and oversight, impacting patient autonomy and trust.
• The need for responsible AI implementation is highlighted, especially for vulnerable patient populations.

Conclusions:

• A framework for safe, equitable, and responsible AI implementation in diabetes care is essential.
• Addressing the ethical and epistemic challenges of AI is critical for building trust in digital health solutions.
• Algor-ethics provides a vital lens for navigating the complexities of AI in clinical practice.