Osaka Researchers Develop AI System to Fix Radiology Labeling Errors
Artificial intelligence is becoming a powerful tool in modern healthcare, especially in radiology. Hospitals around the world now use deep-learning systems to analyze X-ray images and support doctors in diagnosis and research. However, these AI systems depend heavily on one important step that is often overlooked: correct image labeling. Researchers at Osaka Metropolitan University have now developed an AI-based solution to fix this problem and improve the reliability of radiology data. In most hospitals, X-ray images are labeled manually before they are stored or used to train AI models. These labels include information such as the body part being scanned,…