Mayo Clinic Uses AI to Accelerate Radiology Workflow

Client Overview

Mayo Clinic is a world-renowned nonprofit academic medical center with facilities in Minnesota, Florida, and Arizona, treating over 1 million patients annually across complex medical disciplines.

Challenges

Radiology departments were overwhelmed with backlogs of chest X-rays, and critical case prioritization was manual and error-prone.

• Delays in identifying urgent cases like pneumothorax
• Radiologists burnout from high image review volumes
• Inefficient triage process for imaging workflows

Solution

Mayo Clinic implemented an AI model trained to identify critical findings in chest X-rays and flag them for priority review.

• AI system flagged high-risk images for faster review
• Integrated with existing radiology PACS workflows
• Automated triage without disrupting radiologist protocols

Business Impact

The AI solution significantly improved efficiency and patient safety metrics.

• Cut turnaround time for urgent X-rays by up to 40%
• Increased diagnostic prioritization accuracy
• Reduced radiologist fatigue and unnecessary review load

Client Testimonials

“With AI flagging critical scans, we spend less time searching and more time helping patients.” - Dr. Bradley Erickson, Chair of Radiology AI Program, Mayo Clinic

“This is a major win for radiologists. It’s fast, accurate, and integrates seamlessly.”

-Dr. Angela Bennet, Radiologist, Mayo Clinic