Skip to main content

AI has many benefits in radiology and the overall diagnostic workflow, according to Margarita García Fontes, Chairperson of MRI at the Uruguayan Molecular Imaging Center (CUDIM) and Radiologist Specialist in MRI and PET-CT in Montevideo, Uruguay.

‘It gives us a support for our reports because it adds homogeneity, repeatability and accuracy in the analysis of diagnostic images,’ she told Mélisande Rouger at ECR2024 last February in Vienna.

AI is also a powerful ally to combat fatigue, she went on. ‘We are very overladed in our work because the demand of studies is too much for us, for our time and our knowledge. So this support of AI, radiomics and deep learning is very important because these tools help us to see the lesions when we are tired, when our vision is low,’ she said.

In the future, AI and radiomics are going to help unveil biological processes such as tumor treatment response that are not comprehensible with conventional methods. ‘These tools can help us to understand these processes, and that will be a very big change in interpretation of images,’ she said.

With AI, radiologists will be able to help other colleagues do their treatments and patient management, she concluded.