Real-World Implications for Implementing AI in Radiology

Artificial intelligence has the potential to advance medical imaging and the ability of radiologists to support patients through their healthcare journey. For the healthcare system in general and radiology departments in particular to unlock this potential, leaders must first consider the practicalities involved when bringing new technology to bear on improving patient care, enhancing quality and safety, and streamlining healthcare processes. As Professor of Radiology and Vice Chair of Artificial Intelligence at the Department of Radiology at the University of Florida College of Medicine, Reza Forghani, MD, PhD, is charged with leading research and development and addressing the practical barriers to AI implementation, to ensure that the technology can be successfully deployed to improve patient care. In this webcast, Dr. Forghani will describe the challenges of translating AI technology into clinical practice. Likewise, he will share experiences leading a state-of-the-art AI research and development program focused on radiomics and augmented intelligence.