Interactive Clinical Scenario Simulation Generator

Create a Flask-based web application that dynamically generates randomized clinical training scenarios for medical students. Utilize machine learning models to construct probabilistic patient case studies, including symptom progression, diagnostic decision trees, and treatment pathway simulations. Implement a scoring mechanism that evaluates student decision-making and provides real-time feedback based on evidence-based medical protocols.