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Neural networks outperform expert humans in predicting patient impressions of symptomatic improvement following overactive bladder treatment.

Glenn T WerneburgEric A WerneburgHoward B GoldmanAndrew P MullhauptSandip P Vasavada
Published in: International urogynecology journal (2022)
Novel neural network-based machine-learning algorithms accurately predicted OBTX-A and SNM patient subjective outcomes, and generally outcompeted expert humans. Subtle aspects of the physician-patient interaction remain uncomputable, and thus the machine-learning approach may serve as an aid, rather than as an alternative, to human interaction and clinical judgment.
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