Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation.
Guillaume ChassagnonNicolas BilletCaroline RuttenThibault ToussaintQuentin Cassius de LinvalMégane CollinLeila LemouchiMargaux HompsMohamed HedjoudjeJeanne VentreJules GregoryEmma CanniffNor-Eddine RegnardSouhail BennaniMarie-Pierre RevelPublished in: European radiology (2023)
• With CADe as a second reader, residents had a significantly higher sensitivity (53% vs 43%, p < 0.001), specificity (94% vs 90%, p < 0.001), and accuracy (86% vs 81%, p < 0.001), compared to residents without CADe. • After removing access to the CADe system, residents' sensitivity (44% vs 46%, p = 0.666), specificity (90% vs 90%, p = 0.642), and accuracy (80% vs 80%, p = 0.955) returned to that of the level for the group without CADe.