Biomedical Informatics and Smart Healthcare | Volume 2, Issue 3: 129-135, 2026 | DOI: 10.62762/BISH.2026.397062
Abstract
Contemporary medicine is shifting from reactive, symptom-based treatment toward proactive, preventive intervention, yet endocrine and metabolic disorders frequently progress through subtle, subclinical phases that are overlooked during routine primary-care encounters, delaying diagnosis and increasing the longitudinal cost of care. This paper presents EndocrineAI, a full-stack, high-integrity clinical decision support system (CDSS) for early-stage endocrine and metabolic risk screening. The platform adopts a hybrid architecture that synthesizes deterministic, rule-based clinical logic with probabilistic Machine Learning (ML) inference and Generative AI summarization. An eight-stage processin... More >
Graphical Abstract