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Decreasing Benign Breast Ultrasound Biopsies: Prospective Use of AI Decision Support
- After implementation of AI decision support, the benign biopsy rate decreased from 71.79% to 59.2% while the overall biopsy rate stayed constant.
- PPV3 increased from 28.2% to 40.8%.
Objective
To examine the affect of prospective AI decision support (Koios DS Breast) use on breast ultrasound biopsy performance metrics.
Materials and Methods
Non-identifiable HIPAA compliant data collected for QI/QA purposes only was analyzed. We evaluated breast ultrasound biopsy performance metrics of a large private practice radiology group for a 12-month period before and for 12 months following a 6 month adaption period of AI technology (Koios DS for Breast). Radiologists utilized the AI technology in real-time as part of their routine clinical practice at their discretion when making their final diagnostic judgment. Use of the technology was verified via audit and quality logs from Koios DS. One radiologist left the practice and four radiologists joined the practice in the assessed intervals. Impact on physician performance was assessed by comparing retrospectively obtained metrics of physician performance before Koios DS was in use to prospective metrics after Koios DS was implemented, following a 6-month acclimatization period.
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