This article discusses the challenges of making flexible, standard, and early medical diagnoses and presents a real medical diagnostic system based on semantics, fuzzy, and dynamic decision rules. It integrates ontology semantics reasoning and fuzzy inference to improve the process of evaluating rules in terms of interpretability, dynamism, and intelligence. A case study involving Alzheimer’s disease is also presented.