This article by Zach Harned, Matthew P. Lungren, and Pranav Rajpurkar explores the critical intersection of machine-vision AI in medical imaging and how it complicates malpractice liability. It reveals that AI's interpretability and diagnostic accuracy could reduce physician liability, while also raising fresh questions for manufacturers under product‑liability and “learned intermediary” doctrines. For legal professionals, this matters because it spotlights evolving standards of care, regulatory classification by the FDA, and strategic liability planning in healthcare AI deployment. The piece delivers actionable insight into balancing innovation and patient safety, prompting practitioners to reassess advice to clients in the fast-evolving medical‑AI landscape.