The digitalization of healthcare is an ongoing process that is also affecting diagnostic imaging and MRI in particular. This starts with streamlined operation management, including patient scheduling, and goes all the way to support for clinical decision-making, such as image interpretation, quantification, and report generation. Digitalization has impacted the way patients and providers approach diagnostic imaging. The use of AI has proven to be a valuable tool for a range of steps along the image acquisition and processing chain, such as exam planning or image processing and decision support.
This results in improved productivity for the providers and ultimately improved patient experience, due to shorter scan times and a reduced risk of repeated measurements. But AI also has great potential when it comes to the generation of the image itself, helping to tackle some of the core limitations of MRI, including acquisition speed, image noise, and artifacts.
