Medical Question Answering

Medical Question Answering (MedQA) focuses on developing AI systems capable of accurately and reliably answering complex medical questions, improving access to information and aiding clinical decision-making. Current research emphasizes enhancing Large Language Models (LLMs) through techniques like Retrieval-Augmented Generation (RAG), knowledge graph integration, and parameter-efficient fine-tuning to mitigate hallucinations and improve factual accuracy. These advancements aim to create trustworthy and robust MedQA systems, ultimately impacting medical education, patient care, and the efficiency of healthcare professionals.