The high accuracy rates of machine learning algorithms on experimental data cannot be considered a sufficient indicator for integrating these models into clinical decision-making processes because there may be significant differences between the findings obtained in experimental settings and clinical practices in real-life conditions.
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Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review.
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