Location: Rochester, Minnesota, USA
AI Focus: Automating total kidney volume measurements in patients with Polycystic Kidney Disease (PKD)
The Challenge:
In patients with PKD, tracking the growth of kidney cysts over time is essential to monitor disease progression and guide treatment. Traditionally, this required radiologists to manually measure kidney volume from imaging scans—a process that took up to 45 minutes per patient. With growing caseloads and limited specialist time, this wasn’t just inefficient—it risked delaying critical care decisions.
The AI Solution:
Mayo Clinic’s Radiology Informatics Lab, led by Dr. Bradley Erickson, introduced AI algorithms capable of automatically identifying and measuring kidney structures in medical imaging. These tools assess total kidney volume in seconds, replacing manual tracing and measurement.
Outcomes:
- Time Savings: What took 45 minutes now takes seconds—radically accelerating the diagnostic process.
- Efficiency Boost: Radiologists are freed from time-consuming manual tasks, allowing them to focus on complex cases and consultations.
- Clinical Impact: The ability to rapidly and accurately track kidney growth enables earlier interventions, improves disease management, and enhances patient outcomes.
Why It Matters:
This isn’t just a win for workflow—it’s a leap forward in chronic disease care. With earlier and more accurate insights, clinicians can intervene before PKD-related complications escalate, offering patients better chances at preserving kidney function.
