Aidence highlights study on CAD for lung nodules

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Dutch artificial intelligence (AI) software developer Aidence is highlighting newly published research that found its computer-aided detection (CAD) software reduced radiologist reading time by an average of approximately 40% when reporting pulmonary nodules on CT exams.

In a study published on 2 August in European Journal of Radiology Open, two radiologists from Spaarne Gasthuis in the Netherlands independently assessed 50 chest CT scans for incidental pulmonary nodules first on their own and then, six months later, with assistance from Aidence's Veye Lung Nodules software.

The first reader read the cases 33.4% faster with the software, while the second radiologist was 42.6% faster. What's more, the two readers increased their level of agreement for patient recommendations from a linear weighted kappa of 0.61 to 0.84 after using the software.

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