Thus, interpretation by radiologist was true negative and by AI system was positive if defining both intermediate-risk and elevated-risk categories as positive. Annotation was not generated by AI system but rather was recreated by present authors based on AI output coordinates. Radiologists’ interpretations were extracted from clinical reports, while a commercially available, FDA-cleared AI system classified exams as low, intermediate, or elevated risk. When positive results were defined as elevated risk, the AI yielded 74.4% sensitivity, 86.3% specificity, 14.0% recall rate, and 99.8% NPV. “AI’s ability to safely triage negative screening exams could help radiologists focus their expertise on more challenging cases,” Milch et al.