IDOR carries out research into advanced pulmonary radiology, using everything from traditional techniques such as tomography to more modern exams such as PET-CT to collect morphological and functional images, which allow an analysis of cellular activity in vivo. One of the main applications of these studies is the assessment of inflammation in patients with tuberculosis, cancer, and other diseases affecting the lungs.

In conjunction with the neurosciences area, images obtained by functional magnetic resonance imaging are combined with software and other technological resources for various investigations into the brain, ranging from acquired or congenital malformations, such as agenesis of the corpus callosum, to brain behavior in relation to everyday matters, such as altruism, beliefs, and group belonging.

The team also works on developing artificial intelligence techniques for evaluating CT scans. A recently published study in this field used artificial intelligence to quantify the presence of interstitial lung disease in patients with systemic sclerosis. The research compared scans of a large number of patients and healthy people to develop a method capable of recognizing and quantifying interstitial lung disease. One of the main advantages of this method is that it reduces the subjectivity of the professional analyzing the images when assessing cases.