Google’s healthcare AI made up a body part — what happens when doctors don’t notice?

Google's AI System Raises Concerns over Accuracy in Healthcare Diagnostics The article highlights a concerning scenario where a Google healthcare AI model incorrectly identified a "basilar ganglia" as an abnormality in a brain scan, conflating two distinct brain regions. This error could lead to incorrect diagnosis and treatment, as the basal ganglia and basilar artery are very different anatomical structures with distinct medical implications. The article emphasizes the importance of medical professionals' expertise in accurately interpreting radiological scans, as they are trained to recognize and distinguish between various brain structures. The potential for AI models to introduce errors, especially when they introduce new terminology, raises questions about the reliability and oversight of such systems in healthcare. The article underscores the need for thorough testing, validation, and oversight of AI-powered diagnostic tools to ensure they do not inadvertently mislead healthcare providers and compromise patient care. As AI technology continues to advance, maintaining human expertise and vigilance in the medical field remains crucial.