人工智能在 Peyronie 病中的应用前景。
The Promise of Artificial Intelligence in Peyronie's Disease.
机构信息
Division of Andrology, Department of Urology, David Geffen School of Medicine at UCLA, 10945 Le Conte Avenue, Suite #3361, Los Angeles, CA, 90095, USA.
出版信息
Curr Urol Rep. 2024 Sep 21;26(1):3. doi: 10.1007/s11934-024-01233-5.
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.
目的综述
人工智能 (AI) 在增强阴茎硬结症 (PD) 临床决策方面的应用引起了广泛关注。本综述探讨了 AI 在 PD 评估中的现状。
最近发现
3D 建模的最新进展为评估 PD 畸形提供了更复杂的方法；然而，3D 建模在临床实践中的应用面临挑战，包括需要专用设备和耗时的数据处理，有时需要数小时的人工劳动。AI 有望通过高效处理大量数据并基于这些数据进行准确预测来克服这些障碍。未来将 AI 与 3D 建模技术集成，通过改善患者咨询、手术规划和临床决策，可能会彻底改变 PD 评估。文献中仍存在一些重大空白，包括缺乏有力的证据表明采用这种技术优于标准诊断。
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