Truth, Trust, and Trouble: Medical AI on the Edge 事件

Truth, Trust, and Trouble: Medical AI on the Edge arXiv:2507.02983v3 Announce Type: replace Abstract: Large Language Models (LLMs) hold significant promise for transforming digital health by enabling automated medical question answering. However, ensuring these models meet critical industry standards for factual accuracy, usefulness, and safety remains a challenge, especially for open-source solutions. We present a rigorous benchmarking framework using a dataset of over 1,000 health questions.