Recent progress in deep learning has improved fault diagnosis, but such models typically demand large, labeled data and struggle with overfitting when data is limited or imbalanced. Collecting data ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...