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AI model may identify mass effect brain lesions

Researchers found that an MRI-based convolutional neural network yielded 84.5% accuracy in identifying brain lesions that result in mass effect, or ventricle and sulci distortion or compression, across 53 disease entities. The findings were presented at the Society for Imaging Informatics in Medicine's virtual meeting.

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