Manage growing radiology workloads with AIHow AI helps save time, reduce repetitive tasks, and increase capacity across radiology workflows.

Integration is key for AI solutions to deliver measurable impact. When deeply integrated into clinical workflows, AI automates repetitive tasks and bridges gaps in the communication chain - streamlining processes, improving efficiency, and enabling faster responses when time is of the essence. University Hospital Essen shows how integrated automation supports more efficient teamwork and more rapid action in time-critical situations.

Watch Prof. Dr. Michael Forsting explain how AI can help automate reporting and communication processes to support faster turnaround times and help care teams reach more patients.

By automating time-consuming steps in CT image processing, the team at Denver Health was able to manage rising scan volumes despite staffing shortages. Instead of spending valuable time on manual post-processing, alignment, field-of-view optimization, and 3D image creation, technologists can rely on AI-enabled workflows to handle these tasks more efficiently - helping reduce workload, ease workflow friction, and double effective CT capacity.

Watch Dr. John McMenamy explain how AI can automate imaging workflows to help manage rising scan volumes, improve throughput, and make better use of limited staff capacity.