The X-Ray Gets Checked Before the Patient Leaves

An AWS case study describes Image Verify, a machine-learning pipeline that classifies a dental X-ray and checks qualities such as sharpness, alignment, coverage, and completeness before returning a one-to-five score. The companies report median round-trip latency of 1.4 seconds and deployment at more than 10,000 locations. The tool evaluates image quality rather than diagnosing disease, a boundary that matters clinically and regulatorily. The scale and performance figures are vendor and customer claims, but the workflow demonstrates a narrow use of medical AI: catching a bad input while the patient can still retake it.