Health Related

Research on health-related question answering aims to improve access to accurate medical information using AI, particularly addressing challenges posed by the complexity of medical language and the prevalence of misinformation. Current efforts focus on leveraging large language models (LLMs), often augmented with retrieval mechanisms (RAG) or knowledge graphs (KGs), to enhance accuracy and reduce hallucinations in responses to consumer health queries. These advancements hold significant potential for improving patient care and reducing the burden on healthcare professionals by providing reliable and accessible information, though challenges remain in ensuring factual accuracy and mitigating biases across different languages and question types.