Searching for a Local Neurologist to Treat Parkinson’s Symptoms: An Exploration Using Artificial Intelligence Powered by Mind Genomics Thinking
This paper focuses on the criteria that newly diagnosed patients and their families may use to find a neurologist for Parkinson’s disease. The paper combined the world-view of Mind Genomics with the generative ability of AI (Artificial Intelligence) in the form of Large Language Models (LLM). The approach posits the existence of a limited number of mind-sets and requests the AI identify these mind-sets, and then answer several questions for each mind-set. The approach is efficient, returns with different mind-sets, which make intuitive sense, and presents a way to learn about a topic in medicine where the information pertains to the mind of the patient or family, rather than to clinical and technical issues. The paper shows how AI provides both initial information about the mind-set, and deeper information based upon a set of pre-programmed prompts for teaching purposes, this set called SCAS, Socrates as a Service. SCAS provides different perspectives about the topic, suggests new ways of thinking about the issues, and suggests innovations. We propose a method to increase subject learning and critical thinking.