The Integration of Artificial Intelligence in Hormone Analysis: Transforming Diagnostic Precision and Personalized Endocrine Care

Traditional hormone analysis methods are often limited by single-point measurements, assay variability, and biological fluctuations that reduce diagnostic precision. Artificial intelligence (AI) offers powerful tools to address these limitations by recognizing complex hormone patterns, predicting physiological events, and guiding personalized treatment strategies. This review explores how AI enhances endocrine diagnostics across metabolic, reproductive, thyroid, and adrenal hormone domains. By integrating vast temporal datasets and interpreting subtle variations often missed by conventional methods, AI facilitates earlier detection of disorders such as diabetes, polycystic ovary syndrome (PCOS), thyroid dysfunction, and adrenal abnormalities. It also supports dose optimization and real-time monitoring. Artificial intelligence–driven tools are evolving to model multi-hormone systems, offering a holistic understanding of endocrine function and aiding clinical decision-making. The integration of AI into hormone analysis signifies a paradigm shift toward proactive, precise, and personalized endocrine care.

Cite this article as: Selvam S, Manikandan S, Venkateswaramurthy N. The integration of artificial intelligence in hormone analysis: transforming diagnostic precision and personalized endocrine care. Endocrinol Res Pract. Published online August 19, 2025. doi:10.5152/erp.2025.25697.