Machine learning provides an accurate prognostication model for refractory overactive bladder treatment response and is noninferior to human experts.

Novel ML algorithms were accurate, superior to expert urologists in predicting OBTX-A outcomes, and noninferior to expert urologists in predicting SNM outcomes. Some aspects of the physician-patient interaction are subtle and uncomputable, and thus ML may complement, but not supplant, a physician's judgment.