Radiologists are increasingly turning to artificial intelligence (AI) to help manage rising workloads and mitigate burnout, despite earlier fears that AI would replace them. With imaging volumes expected to grow by 3-4% annually and a shortage of radiologists, the demand for their services is more intense than ever. Recent developments showcased at the Radiological Society of North America (RSNA) meeting reflect a shift in perception, highlighting AI's role in enhancing workflow support, diagnostics, and efficiency. AI solutions are now aimed at improving radiology workflows rather than competing with radiologists, a change from initial concerns. Companies like RadNet are launching products such as DeepHealth to bolster efficiency while maintaining quality. New entrants like Raidium are also creating AI-driven tools to streamline imaging processes. These advancements promise not only to increase productivity but also to improve patient care through better analytics and workflow integration.
Fri, 19 Dec 2025 17:12:14 GMT | Health Data Management