AI-driven detection is evolving from static thresholds to adaptive, explainable models. This session dissects the latest developments in predictive analytics, clinical signal integration, and model governance — including live examples of real-time behavioural scoring, model drift monitoring, and algorithmic transparency across jurisdictions. It also focuses on how the practical integration of explainability aligns with expectations under regulation such as the EU AI Act.