Virtual Doctor

Virtual doctor systems, aiming to simulate realistic patient interactions for medical training and research, are rapidly evolving using large language models (LLMs) coupled with knowledge graphs and diffusion transformers. Current research focuses on enhancing the accuracy and realism of these simulations, incorporating diverse data sources like electronic health records and sensor data to improve diagnostic capabilities and address limitations like hallucinations. These advancements hold significant promise for improving medical education, facilitating clinical decision-making support, and potentially transforming healthcare delivery through more accessible and personalized consultations.