Safeguarding the medical quality of the hospital

X-ray is both the fastest and the most globally accessible medical imaging modality, consisting of more than half the diagnostic scans taken per year. About 20% of X-ray scans were performed on body extremities (arms and legs) in order to investigate bone/joint injuries and other conditions such as an infection, arthritis, or other bone diseases.

Body extremity imaging involves different body sides and views that often causes errors during image acquisition. Acquiring the wrong side/view can result in medical mismanagement-either the absence of care where it is needed or inappropriate treatment to the wrong body part. However, these errors are hard to find on-site with only human management alone.

Radiology technologists from Y hospital in the southern Taiwan developed an AI application with DeepQ AI platform that can detect potential discrepancy between the acquisition order and the actual scanned body part/view right after the X-ray image was taken. The system will automatically show visual notifications to alert the on-site radiologist, preventing further loss of time and expense and safeguarding the medical quality of Y hospital.