Artificial intelligence proves useful in radiology department at AZ Sint-Blasius

AI-assisted reporting, and particularly X-ray report pre-fill, is designed to address these communication gaps that quietly challenge radiologists every day. In this blog, we’ll cover why pre-fill reporting is gaining traction and share some practical examples of how healthcare centers are already deploying AZmed’s tools to reduce their manual workload.

AZmed has received the CE mark for AZnod, designed to detect and characterize pulmonary nodules on CT scans.

AZnod is the first AI tool for CT within AZmed’s Rayscan product line, extending the firm’s Rayvolve AI suite beyond x-rays. It is designed to aid lung cancer screening programs by providing standardized detection and comprehensive characterization of pulmonary nodules on CT scans. The software identifies and evaluates nodules between 3 mm and 30 mm, providing measurements of volume, long-axis diameter, and perpendicular diameters, as well as indicating the exact CT slices on which they are present.

A AZmed, uma das empresas líderes em inteligência artificial (IA) para radiologia, anunciou hoje a marcação CE do AZnod, a sua primeira ferramenta de IA para tomografia computadorizada (TC) dentro da nova linha de produtos Rayscan®. Esta expansão junta-se agora ao Rayvolve® AI Suite já existente da AZmed, ampliando o portfólio da empresa para além dos raios X padrão, de modo a incluir análises avançadas baseadas em TC. O AZnod foi concebido para auxiliar os programas de rastreio do câncer de pulmão, fornecendo detecção padronizada e caracterização abrangente de nódulos pulmonares em tomografias computadorizadas.