Web search is widely used to find online medical advice. However, health-related information access requires retrieval algorithms capable of promoting reliable documents and filtering out unreliable ones. To this end, different types of components, such as retrieval models and AI-based reliability estimators, need to be combined. In this talk, an entire pipeline for misinformation detection will be presented. I will report experiments conducted to assess the influence of different signals and I will show that the performance of this system is competitive compared with SOTA solutions.