Healthcare providers face financial, regulatory, and logistical obstacles in supplying quality care. Applying robotics and artificial intelligence (AI) to healthcare reduces demands on providers, increases accuracy by supplementing medical diagnoses, and improves patient outcomes. Team AIMAR (Artificially Intelligent Medical Assistant Robot) has constructed a modular robotic healthcare AI system, consisting of advanced diagnostic features as supplements to a generic base. The team focused on analyzing images with machine learning to identify skin conditions. The base robot can move around the home or hospital, pick up objects, and interact with patients and doctors. The patient can log in using face authentication so that patient data is secure, and interact verbally and visually through the user interface. New features can easily be added to the base robot's existing integrated features, making AIMAR adaptable for many desired contexts.