Endocrine hypertension in 2025: how AI and multiomics are revolutionizing detection

The convergence of multiomics and AI heralds a transformative era in EH care. While proof-of-concept studies demonstrate diagnostic accuracy comparable to invasive tests, translation into routine practice is limited by infrastructural inequities, lack of data harmonization, and gaps in clinician digital literacy. Future efforts should prioritize federated data systems, longitudinal multiomic integration, and hybrid models of human - machine collaboration. Within a decade, endocrine hypertension management will likely evolve from static, phenotype-based diagnosis to dynamic, data-driven systems medicine, integrating continuous biosensing and AI-guided decision support for truly individualized care.