Lunit

In an independent study published in Radiology1, researchers from Radboud University in the Netherlands assessed the stand-alone performance of commercially-available AI software for lung nodule detection. Out of the 14 vendors of CE-marked AI software for chest x-rays (CXR) invited to participate, seven accepted the challenge. Results were measured in AUC, sensitivity and specificity. RESULTS: […]

Integrating pathology detection into the user-friendly Musica Acquisition Workstation. Agfa Radiology Solutions is a major player in the diagnostic imaging market, providing analogue and digital imaging technology to meet the needs of specialised healthcare professionals in hospitals and imaging centers around the world. Agfa’s goal is to help radiologists, technicians and healthcare systems to continuously […]

A study published in PLOS ONE has shown the clinical efficacy of the Lunit Insight CXR AI algorithm for detecting COVID-19 pneumonia on chest radiography compared with formal radiology reports. Using Lunit’s AI software for chest x-rays, the study was conducted and revalidated by five different major medical institutions, including Kyungpook National University Chilgok Hospital […]