Medical Student

Medical student education and assessment are undergoing a transformation driven by advancements in artificial intelligence, particularly large language models (LLMs). Research focuses on developing and evaluating LLMs for various medical tasks, including question answering, report generation, and image analysis, often employing architectures like Mixture-of-Experts models to improve performance and address biases. These efforts aim to enhance medical training, improve diagnostic accuracy, and ultimately optimize healthcare delivery, though challenges remain in aligning AI benchmarks with actual clinical needs and mitigating inherent biases in these models.