Luchs, Jonathan Stephen | Premier Radiology Services, US
Scientific presentation (R1-SSCH09-5) at RSNA 2023, 26 – 30. November 2023 in Chicago, US
Purpose:
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Can an off-label use of an AI-tool for chest X-rays detect unreported cases of osteoporosis? |
Method:
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Retrospective analysis of 1,223 CXR cases of patients ≥65 years from US outpatient centers. Comparison of osteopenia and spine wedge fracture detected by Annalise Enterprise CXR and those findings reported in the clinical report. A ground-truth review was conducted in cases of disagreement between the model and report. |
Results:
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Model and report agreed in 84.5% and 88.4% of cases for osteopenia and spinal wedge fracture, respectively. Of a total of 102 unreported cases, the AI model detected 95.1% and 100%, respectively. |
Conclusion:
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AI may improve patient outcomes by flagging findings omitted by radiologists’ reports for further evaluation. |
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