AI models fall short in medical coding accuracy

State-of-the-art artificial intelligence systems known as large language models (LLMs) are poor medical coders, according to researchers at the Icahn School of Medicine at Mount Sinai. Their study, published in the April 19 online issue of NEJM AI [DOI: 10.1056/AIdbp2300040], emphasizes the necessity for refinement and validation of these technologies before considering clinical implementation.