AI for emergency radiology: triage and fractures

On every radiograph, the AI is a second read that never tires. An independent hospital benchmark compared three commercial solutions in the ED: TechCare Alert posted the highest diagnostic accuracy of the three in fracture detection, 90.1% versus 88.8% and 71.0% (Academic Radiology, 2023). As a second read, the radiologist's sensitivity to adult fracture rises from 0.81 to 0.98 (FDA reader study, aided vs unaided). The AI assists; the radiologist decides.

Not by removing errors: by catching them. In an ED study combining MSK and chest detection (European Journal of Radiology Open, 2023, 1,772 patients), the AI reaches an overall AUC of 0.954; on the cases an emergency physician had misread, nearly one in ten, it catches 90% of them. The Suite covers 7 pathology families in a single pass, which makes fast reads and night shifts safer. See the Emergency & trauma solution for everything it covers.

TechCare Alert does more than sort: it prioritizes and supports diagnosis throughout the radiography workflow, flagging findings directly on the image. The pre-report returns in under 30 seconds and the full analysis to the PACS in under 2 minutes, so positive exams rise to the top of the list. At Aalborg University Hospital (Denmark), this prioritization helped deliver up to 1 hour less waiting. The decision stays with the clinician.

Yes, but cite the right evidence. The biggest well-documented time saving comes from reporting: on an image-to-report flow, TechCare Report integrated in the RIS/PACS delivered up to +64% more exams read per session (figure reported by a partner radiology center). TechCare Report is intelligent radiology dictation, subscription software, not a medical device; pathology detection itself is delivered by the CE class IIa detection solution. Two modules, two regulatory statuses, one workflow.

Yes. Fracture detection is validated with no age limit in Europe, from infant to adult, with an AUC of 0.962 standalone (FDA dossier). At scale, the Milvue Suite processes 40 million analyses a year across more than 600 sites. The models are trained on over one million images; the radiologist stays responsible for every report.