Radiologists in Europe ramp up testing of AI

Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers, while two algorithms for predicting bone age fell short, in a study published January 9 in Radiology.The study validates the methodology of an initiative called Project AIR, which the researchers developed to standardize testing of AI radiology products cleared for use in Europe, noted lead author Kicky van Leeuwen, a doctoral candidate at Radboud University in Nijmegen, the Netherlands, and colleagues.“Clinical centers rarely have the necessary resources and personnel to evaluate and compare multiple products prior to purchase,” the group wrote.Project AIR is an ongoing cohort study aimed at filling this gap, the authors wrote. Seventeen vendors with cleared products on the market between June and November 2022 for detecting either lung nodules or bone age on x-rays were invited to join the project. Subsequently, in total, nine products from eight vendors were assessed in the study.The seven algorithms assessed for detecting lung nodules were Annalise Enterprise CXR (Annalise.ai), InferRead DR Chest (Infervision), Insight CXR (Lunit), Milvue Suite-SmartUrgences (Milvue), ChestEye (Oxpit), AI-Rad Companion Chest X-ray (Siemens Healthineers), and Med-Chest X-ray (Vuno).These algorithms were all tested on the same validated data set of 386 chest x-rays, which were acquired between January 2012 and May 2022 from institutions in the Netherlands. The...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Digital X-Ray Artificial Intelligence Source Type: news