Research
RAI Labs is at the forefront of pioneering research in translational and quantitative imaging, fostering a multidisciplinary approach across interdependent laboratories to address pressing medical challenges.
Areas
To investigate advanced artificial intelligence techniques that elevate the performance and reliability of medical imaging practices.
To develop and implement methods to translate imaging data into tractable quantitative biomarker data, including radiomics, to enhance the application of imaging in clinical decision-making and improve patient outcomes.
To devise and apply in-silico trials and digital twins using anthropomorphic anatomical and functional models, starting from imaging, such that medical interventions can be reliably and efficiently tested and optimized.
To apply the dose and quality science in the context of patient imaging, and to understand the sources of variability (individually and collectively) as means to improve the precision of clinical care.
To develop and apply metrics to assess the quality of medical imaging examinations to provide care-relevant information.
To devise and apply dose metrology that is patient-relevant and that is used for meaningful characterization, optimization, and assurance of precision care.
