Medical Consultation

Medical consultation research focuses on developing automated systems to improve efficiency and access to healthcare, primarily using large language models (LLMs) to simulate doctor-patient interactions. Current efforts concentrate on creating robust LLMs trained on extensive medical datasets, incorporating multimodal data (e.g., images), and refining model architectures to enhance accuracy and reduce biases in diagnosis and treatment recommendations. These advancements hold significant potential for improving healthcare accessibility, particularly in resource-constrained settings, by augmenting existing systems and providing preliminary assessments.

Papers