A supervised machine learning algorithm predicts intraoperative CSF leak in endoscopic transsphenoidal surgery for pituitary adenomas: model development and prospective validation.

The RF classifier showed the best performance across all models selected. RF models might predict surgical outcomes in heterogeneous multimorbid and fragile populations outperforming classical statistical analyses and other ML models (SVM, ANN etc.), improving patient management and reducing preventable morbidity and additional costs.