Evaluation of AI developed for rib fracture detection in identifying vertebral fractures on abdominal CT.

At the patient level, both the AI algorithm and ER clinicians achieved 100% sensitivity, specificity, accuracy, and F1-score.

At the anatomical location level, the AI algorithm achieved a sensitivity of 62%, accuracy of 98%, and an F1-score of 0.69, compared with 46% sensitivity (p < 0.05), 97% accuracy (p = 0.92), and an F1-score of 0.62 (p = 0.50) for ER clinicians.

Among 178 confirmed fracture locations, the AI algorithm detected 110 cases, whereas ER clinicians identified 81.