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Deep learning analyzes intracranial pressure waveforms, revealing insights into cerebral compliance.
A deep learning-based foundation model optimized for analyzing invasive ICP waveforms can extract clinically relevant information about cerebral compliance. The performance was best for distinguishing compliant from non-compliant waveforms.
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Megjhani et al. (2026) studied this question.
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