Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department.

To assess the impact of an Artificial Intelligence (AI) limb bone fracture diagnosis software (AIS) on emergency department (ED) workflow and diagnostic accuracy. A retrospective study was conducted in two phases-without AIS (Period 1: 1 January 2020-30 June 2020) and with AIS (Period 2: 1 January 2021-30 June 2021). Among 3720 patients (1780 in Period 1; 1940 in Period 2), the discrepancy rate decreased by 17% ( = 0.04) after AIS implementation. Clinically relevant discrepancies showed no significant change (-1.8%, = 0.99). The mean length of stay in the ED was reduced by 9 min ( = 0.03), and expert consultation rates decreased by 1% ( = 0.38). AIS implementation reduced the overall discrepancy rate and slightly decreased ED length of stay, although its impact on clinically relevant discrepancies remains inconclusive. After AI software deployment, the rate of radiographic discrepancies decreased by 17% ( = 0.04) but this was not clinically relevant (-2%, = 0.99). Length of patient stay in the emergency department decreased by 5% with AI ( = 0.03). Bone fracture AI software is effective, but its effectiveness remains to be demonstrated.