VALID (Verified AI for Limiting Inefficient Diagnostics) is a medical AI project focused on reducing unnecessary CT imaging in emergency settings. The team is developing a machine-learning system that analyzes patient symptoms, vitals, and clinical notes to support evidence-based imaging decisions in real time. By combining natural language processing with structured clinical data, VALID aims to improve workflow efficiency, reduce patient radiation exposure, and support clinicians without replacing clinical judgment. The project emphasizes transparency, fairness, and practical integration into hospital systems.