A computer-implemented method for generating and operating a virtual medical advisor (VMA) avatar in a virtual reality (VR) healthcare system, comprising:
- receiving user preferences including at least one trusted authority figure for avatar representation;
- generating a personalized VMA avatar using multimodal LLM or deepfake technology to visually and audibly resemble the trusted authority figure;
- displaying the VMA avatar to a user via a mobile device within an immersive 3D environment;
- providing, via the VMA avatar, medical information tailored to the user's specific health condition through natural language processing (NLP) of electronic health records (EHRs);
- monitoring the user's physiological state in real-time via biometric sensors including at least heart rate variability and galvanic skin response;
- dynamically adjusting the VMA avatar's speech patterns, emotional tone, and recommended therapeutic content based on changes in the user's physiological state and interaction history, wherein the VMA avatar modulates its vocal pitch and speech rate inversely proportional to the user's real-time stress levels.