The Radiology AI Revolution?
Books, Blogs, and Podcasts I propose the following question to radiology professionals: “Can radiology lead the AI revolution to improve patient outcomes and reduce wait times?” In 2024, radiology experienced a paradigm shift propelled by incorporating artificial intelligence (AI) into clinical practice. Radiology departments worldwide now find themselves at the epicenter of innovations to enhance patient outcomes, streamline clinical workflows, and reduce the latency between imaging and definitive diagnosis. The urgency of faster and more accurate image interpretation has never been more critical, particularly as health systems face mounting pressures from aging populations, rising healthcare costs, and the complexities introduced by multifactorial diseases. Can leverage advanced machine learning (ML) algorithms, including deep learning and radionics, identify pathologies, prioritize critical cases, and ultimately influence therapeutic decisions, minimizing the complexity ...