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The Promise of Artificial Intelligence in Peyronie's Disease
Thiago P Furtado1, Vadim Osadchiy1, Sriram V Eleswarapu2
1Division of Andrology, Department of Urology, David Geffen School of Medicine at UCLA, 10945 Le Conte Avenue, Suite #3361, Los Angeles, CA, 90095, USA.
Purpose Of Review:
The application of artificial intelligence (AI) to enhance clinical decision-making in Peyronie's disease (PD) has generated significant interest. This review explores the current landscape of AI in PD evaluation.
Recent Findings:
Recent advances in 3D modeling offer a more sophisticated approach to assessing PD deformities; however, the implementation of 3D modeling in clinical practice faces challenges, including the need for specialized equipment and time-consuming data processing, sometimes taking several hours of labor. AI holds promise for overcoming these hurdles through its ability to efficiently process large volumes of data and to perform accurate predictions based on such data. Future integration of AI with 3D modeling techniques could revolutionize PD evaluation by improving patient counseling, surgical planning, and clinical decision-making. Significant gaps in the literature have yet to be addressed, including the absence of robust evidence that incorporating such technology is superior to standard diagnostics.
