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CINA is designed to assist hospital networks and radiologists by leveraging AI to enhance both the efficiency and accuracy of medical image interpretation. It addresses two key challenges: timely identification of urgent cases through triage, and consistent assessment of disease severity through quantification.

By detecting critical findings more quickly and delivering standardized measurements, CINA enables radiologists to prioritize cases effectively and make better-informed decisions. Its outputs are intended to complement the clinician’s expertise—not replace it. The final interpretation and diagnosis always remain the responsibility of the healthcare professional.

CINA puts patients and radiologists at the heart of its value by using AI to enhance the speed and accuracy of medical imaging. For patients, faster detection of critical findings and quantification of disease severity mean earlier treatment and better health outcomes. Radiologists benefit from streamlined workflows, reduced interpretation time, and fewer chances of missing critical findings—ultimately lowering stress and improving diagnostic confidence. These improvements also translate into gains for healthcare institutions, with higher-quality care, improved performance indicators, and more efficient patient flow. By enabling timely care and minimizing unnecessary delays, CINA also helps reduce the need for patients to return later—supporting continuity of care within the same institution.

The results are provided as DICOM images, which are sent to the PACS and appear as separate series within the original study. They are not overlaid on the original images but are displayed alongside them, allowing radiologists to review the AI findings in parallel with the native scan, within their existing workflow.