NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage.

non-damaging: 0.27 ± 0.05 μ C ph −1 ); however, the charge density per phase did not reach statistical significance (damaging: 247.7 ± 37.9 μ C cm −2 ph −1 vs. non-damaging: 239.2 ± 39.9 μ C cm −2 ph −1 ; p = 0.07).

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