an "AI Stroke Classifier System" that evaluates potential stroke patients like the recorded non-smoking, non-diabetic male. The system takes key data inputs, including physical patient information (vitals like systolic and diastolic blood pressure, and BMI) and brain imaging (CT or MRI scans), which are then analyzed by a neural network model to generate a classification output. For the example patient shown with facial droop and arm weakness, the AI has determined an Ischemic Stroke in the Left Middle Cerebral Artery, and has automatically assessed the condition's severity to provide appropriate treatment recommendations, such as tPA or thrombectomy.