At ICS24 (International Continence Society Annual Meeting), Dr. José Batista (ES) presented his abstract, “Artificial intelligence to read urodynamic tracings: Could we skip a human reading?”.  In this episode of EAU Podcasts, Dr. Batista discusses the rationale and key findings of his study, exploring whether AI can interpret CMG traces reliably enough to be integrated into daily clinical practice.

To learn more on this study, read the abstract here.

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