EndoCompass project: artificial intelligence in endocrinology

Area of Science:

• Endocrinology
• Hormone Health Research
• Artificial Intelligence in Medicine

Background:

• Endocrine science is underrepresented in EU research programs, despite the critical role of hormone health.
• A gap exists between the societal impact of endocrine disorders and their research funding prioritization.
• The EndoCompass project aims to define strategic research priorities in endocrinology.

Purpose of the Study:

• To identify strategic research priorities in endocrine science.
• To address critical hormone-related health challenges through research.
• To promote the integration of artificial intelligence (AI) in endocrinology.

Main Methods:

• Analysis of the EU CORDIS database (Horizon 2020 framework).
• Expert examination of AI applications in endocrinology.
• Focus on data sharing, fairness, and training needs for AI in endocrinology.

Main Results:

• Priorities include compliant data sharing frameworks for clinical and omic data.
• Development of fair, unbiased AI systems considering diversity and preventing physician de-skilling.
• Creation of AI training programs for endocrinologists at all career stages.

Conclusions:

• An evidence-based roadmap for integrating AI into endocrine practice and research.
• Need for balanced approaches leveraging AI while preserving clinical expertise.
• Support for strategic investment in AI infrastructure, training, and fairness-aware development.