Bias correction in machine learning models for medical predictions involves techniques such as re-sampling, re-weighting data, incorporating fairness constraints, or using algorithms designed to minimize bias. These approaches aim to ensure the model's predictions are fair and accurate across different demographic groups or medical conditions.