This chapter explores the transformative role of artificial intelligence, machine learning, and digital health technologies in the diagnosis, management, and research of endocrine disorders, including AI-assisted thyroid ultrasound interpretation, predictive modeling in diabetes management, and continuous hormone monitoring systems. The integration of electronic health records, wearable biosensors, and omics data into AI-driven endocrine research pipelines is reviewed with illustrative examples from recent studies. The chapter also addresses the ethical, regulatory, and implementation challenges associated with deploying AI-based tools in clinical endocrinology practice.

Medical Science
Artificial Intelligence and Digital Technologies in Endocrinology: Applications, Opportunities, and Challenges
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