In the heart scan study, researchers found that the AI model wasn’t actually focusing on the heart itself, where there were few visible differences linked to racial categories. Instead, it drew information from areas outside the heart, such as subcutaneous fat as well as image artefacts – unwanted distortions like motion blur, noise, or compression that can degrade image quality. These artefacts often come from the scanner and can influence how the AI interprets the scan.