Second external validation of the mdbrain module 'Aneurysm Detection' published

mdbrain Aneurysm Detection
The study by the University Hospital Bonn examines the impact of AI tools on the quality of findings in aneurysm detection using MRI images. For the study, the mdbrain Aneurysm Module was used for automatic detection of intracranial aneurysms in TOF sequences.

The support from mdbrain in evaluating TOF image sequences led to a significant improvement in overall accuracy. There was also a significant reduction in the number of false positive findings per case when the MRI images were analyzed using mdbrain. For radiologists, these results mean easier diagnosis and more precise detection of aneurysms, which is a decisive advantage for patients.

 

Several positive effects from the use of AI

The study included a total of 168 patients, 44 of whom had at least one aneurysm. Overall, there was a significantly improved specificity (95.4% with AI vs. 93.3% without AI, p=0.04) and a reduced number of false positive findings (0.06 with AI vs. 0.09 without AI, p=0.005). Additionally, a significant reduction in reporting time was demonstrated for most radiologists, with an average decrease of 9% when using AI.

 

Increased sensitivity and fewer false positive findings

It is usually assumed that increasing the sensitivity of a diagnostic test leads to an increase in false positive findings. However, in this study, both an increase in sensitivity and a reduced rate of false positive findings were observed in the physician group when using AI. To avoid a training effect in favor of the AI application, cases were initially diagnosed with AI support and after a period of 6 weeks without AI support.

Read all the details of the study in Diagnostic Neuroradiology:

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