Traditional statistical methods have provided valuable insights into ERAS® compliance and outcomes, but they lack the sophistication needed to uncover complex/non-linear relationships and causality. Machine learning (ML) is changing this landscape, offering new opportunities to personalize perioperative care and optimize patient outcomes.
