Development of artificial intelligence (AI) has led to more widespread use in healthcare, including radiology. There is great hope for AI as a strong companion for radiologists to enhance accuracy, productivity, and workflow by taking over routine tasks and freeing up more time during the workday. Since AI has the potential to impact and improve patient care, many radiology departments are now starting to consider purchasing AI systems. When seeking to invest in AI, radiology departments should do so carefully, similarly to when investing in other health technology solutions.
A trio of imaging informatics experts looked at everything radiology departments need to consider before purchasing AI. Marc Kohli, MD, associate professor and associate chair of clinical informatics and John Mongan, MD, PhD, associate professor and associate chair for translational informatics in the UC…
