Case study: embracing AI for efficient chest x-ray reporting and quality assurance
2025 June 25th
At Šeškinės Poliklinika, one of Lithuania’s largest public clinics, radiologists process over 2,700 chest X-rays each month. To meet rising demand without compromising care, the clinic implemented the Oxipit CXR Suite—a portfolio of AI tools built for chest X-ray workflows.
Today, Oxipit’s AI autonomously reports up to 80% of routine, healthy chest X-rays, allowing radiologists to focus on more complex cases. Integrated real-time quality assurance adds a second layer of diagnostic safety, supporting confident, consistent decisions.
This case study explores how the clinic moved from early adoption to measurable results—with faster reporting, reduced workload, and AI now fully embedded in everyday practice.
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