Seeing is believing in biomedicine, which isn't great when AI gets it wrong
Summary
The article discusses the risks of over-reliance on AI-generated biomedical visualizations, highlighting cases where AI models have produced convincing but incorrect images or data. This raises concerns about trust and accuracy in medical decision-making, emphasizing the need for rigorous validation and human oversight in deploying AI tools in healthcare.