New research demonstrates that artificial intelligence tools can be improved with the input of radiologists. By tracking radiologists' eye movements, AI systems can be trained to focus on the most important areas of medical images. This method helps the AI learn which parts of an image are most relevant for diagnosis, potentially leading to more accurate and trustworthy results.
The use of radiologists' expertise can lead to the development of more effective AI tools for medical imaging. These AI systems can then assist radiologists in identifying abnormalities such as tumours, fractures, and other medical issues. Ultimately, this collaboration between humans and machines aims to improve diagnostic accuracy, reduce errors, and accelerate decision-making in healthcare.
