AI-Enhanced Diagnostic Imaging (AIEDI)

This research was conducted by Falko Ensle, Malwina Kaniewska, Anja Tiessen, Maelene Lohezic, Jonas M. Getzmann, and Roman Guggenberger. It was published in the journal Skeletal Radiology. The study evaluates the diagnostic performance of a deep learning–based reconstruction method in 3D MR neurography for the assessment of the brachial and lumbosacral plexus.

This research was conducted by V. Romeo, P. Clauser, S. Rasul, P. Kapetas, P. Gibbs, P. A. T. Baltzer, M. Hacker, R. Woitek, T. H. Helbich, and K. Pinker. It was published in the European Journal of Nuclear Medicine and Molecular Imaging. The study assesses whether a radiomics and machine learning model combining quantitative parameters and radiomics features extracted from simultaneous multiparametric 18F-FDG PET/MRI can discriminate between benign and malignant breast lesions.