A study of over 3,000 native cranial CT scans from 140 hospitals in Germany and Austria (March to April 2022) analyzed 2,707 scans using AI for hemorrhage detection. Results were compared with interpretations from over 70 teleradiologists who were unaware of the suspected AI findings. Discrepancies were reviewed by two experienced neuroradiologists using prior controls or findings.
Of the 2,707 cranial CT scans analyzed, 189 cases (7%) showed intracranial hemorrhage (ICH) identified by both AI and radiologists. AI flagged 30 additional cases not initially described by radiologists. On re-evaluation, 10 were confirmed as true positives, eight were questionable, and 12 were false positives. Overall, AI helped detect 199 ICHs, with over 5% initially missed by radiologists alone.
AI can enhance radiological reporting, particularly in teleradiology, through enhanced detection as demonstrated by practical application and previous studies.
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