Abstracts of studies, analyses, comments… Discover here all our scientific studies and publications carried out in collaboration with health sector stakeholders and professionals.
AI Software Comparison : Lung Nodules and Bone Age – Study Results | January 2024
Radiology. | “Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction.”
External validation of an AI solution for the detection of elbow fractures – Study results | October 2023
Diagnostic & Interventional Imaging (DII). | “External validation of an artificial intelligence solution for the detection of elbow fractures and joint effusions in children.”
“Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion” – Study results | September 2023
Radiology. | “Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion.”
AI and fracture : 3 commercial solutions evaluated – Study results | July 2023
Academic Radiology. | « Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms »
AI for Interpreting Chest X-rays : Opportunities and Challenges – Study Results | June 2023
MDPI. | “Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges.”
Spinal Telemetry and AI – Study results | March 2023
Diagnostic & Interventional Imaging (DII). | « Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment. »
Deep learning and radiography in the ER – Study results | March 2023
European Journal of Radiology Open. | “Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting.”
Can AI pass the Fellowship of the Royal College of Radiologists examination? – Study Results | December 2022
BMJ. | “Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study.”
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