LIP Distinguished Lecture

Artificial intelligence (AI), with its ability to process vast amounts of data and identify subtle patterns, has ushered in a new era in radiology. This talk will explore how advanced AI algorithms and network-based analytical techniques are enhancing our ability to interpret complex MRI data, providing unprecedented insights into brain connectivity and function, and improving the diagnosis and treatment of brain diseases.
Specifically, I will focus on machine learning methods to manipulate and enhance contrast in MR brain images. Diagnostic MRI often relies on contrast agents to obtain a clearer and more detailed view of anatomical structures and physiological processes. Through various case studies, I will illustrate how AI-based approaches can augment the effects of contrast agents to improve diagnostic efficacy, reduce potential side effects, and extend MRI methods to vulnerable patient populations, such as pediatric subjects. Additionally, I will explore the potential of AI to eliminate the need for contrast agents through methods dubbed “virtual contrast” and enhance subtle endogenous contrast mechanisms, such as the BOLD effect.
These advancements underscore the transformative potential of deep learning in MRI, paving the way for more accurate diagnoses, personalized treatment plans, and a deeper understanding of neurological and psychiatric disorders. As these technologies continue to evolve, they promise to deliver even greater improvements in the efficacy and efficiency of MRI diagnostics and functional imaging.

Prof. Angelo Bifone, PhD MBA
Department of Molecular Biotechnology and Health Sciences, University of Torino, Italy

Join in person at the Max Planck Institute for Human Develpoment or online.

https://mpib-berlin.webex.com/mpib-berlin/j.php?MTID=m5c4160269b1ac30681e7702078e51cde

Meeting number: 2741 080 7937

Password: JhycY3CXq32