Advanced AI Helps 3D Imaging Labs Evolve with the Times

Why It Matters

By accelerating case turnaround and reducing staffing needs, AI improves patient access to critical cardiac procedures and strengthens hospital operational efficiency.

Key Takeaways

• AI cuts TAVR planning from three hours to 25 minutes.
• 400 weekly exams processed by five technologists, saving two staff positions.
• 55% of cases are coronary CT angiography; structural heart cases growing.
• 95% of advanced post‑processing performed in dedicated 3D lab.
• Multiple software platforms required; close IT collaboration ensures integration.

Pulse Analysis

Artificial intelligence has moved from experimental to operational in cardiac imaging, delivering dramatic efficiency gains. At Banner Health, AI‑enhanced algorithms now complete a TAVR planning study in roughly 25 minutes—a task that once consumed three hours of technologist time. This speed enables a lean five‑person team to process about 400 examinations each week, effectively offsetting the chronic staffing shortages that have plagued radiology departments. The result is faster report delivery, reduced patient wait times, and a more agile response to rising procedural volumes.

Beyond speed, AI brings a new level of consistency to 3D post‑processing. Standardized protocols and automated quality‑control checks ensure that measurements are reproducible regardless of the technologist handling the case. In structural heart interventions, where millimeter‑scale differences can dictate device selection, such reliability is critical. By centralizing 95% of advanced post‑processing within the dedicated 3D lab, clinicians receive uniform data, allowing physicians to focus on interpretation rather than manual measurement, ultimately enhancing procedural outcomes.

For institutions looking to replicate this model, strategic software selection and robust IT collaboration are paramount. No single platform currently satisfies the full spectrum of CT and MR workflows, so most labs deploy at least two complementary solutions. Integrating these systems requires close coordination with IT to ensure seamless data flow and maintain cybersecurity standards. As MRI becomes more integral to structural heart planning, the software ecosystem will continue to expand, making ongoing adaptation essential for staying competitive in the evolving cardiac imaging landscape.