HCA Healthcare’s Good Samaritan Hospital has introduced an artificial intelligence-based imaging system designed to accelerate stroke diagnosis and treatment, becoming the first facility in the San Francisco Bay Area to deploy the technology.

The San Jose, California-based hospital is using Lumina 3D, developed by RapidAI, to generate three-dimensional visualizations of blood vessels in the brain and neck from CT scans. The system produces these images within minutes, allowing clinicians to more quickly assess vascular conditions associated with stroke.

Traditionally, creating comparable vascular images required manual post-processing by radiology teams, which added time to an already urgent clinical workflow. According to the hospital, the automated system reduces imaging turnaround by an average of 24 minutes.
The time savings are significant in stroke care, where delays in diagnosis and intervention are closely linked to patient outcomes. Research has shown that millions of neurons can be lost each minute during an untreated stroke, reinforcing the need for rapid clinical decision-making.

“Good Samaritan was one of the first hospitals in the nation to achieve Comprehensive Stroke Center designation, and our patients have always been the reason why,” said Patrick Rohan, CEO of Good Samaritan Hospital. “This technology, paired with our other deep clinical AI capabilities, means that when someone arrives in our emergency department showing signs of stroke, our team has the clearest possible picture, faster than ever before and that translates directly to better outcomes for the people we serve.”

Hospital officials said the system is intended to streamline workflows by automating image processing, enabling radiology staff to focus more on patient care. The implementation reflects a broader trend among health systems adopting AI tools aimed at improving speed and accuracy in acute care settings.

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