在个性化医学的时代,预测和避免皮肤内切除术中的并发症:一个范围审查
Carlos Fernández Baltar1, María Elena Martínez Corral2, Daniel Pérez Fentes2
1Department of Urology, University Hospital Complex of Pontevedra, 36071 Pontevedra, Spain.
Journal of personalized medicine
|September 28, 2024
概括
像人工智能和3D模型这样的新兴技术可以帮助预测和预防皮肤穿神经切除术 (PCNL) 的并发症. 需要进一步的研究来验证这些在减少PCNL风险方面的进展.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 医疗技术 医疗技术 医学技术
- 数据科学数据科学数据科学
背景情况:
- 皮肤穿神经切除术 (PCNL) 与各种并发症有关.
- 技术进步和个性化医疗为并发症管理提供了潜在的解决方案.
研究的目的:
- 审查最近的技术进步和个性化医疗方法,以预防和预测PCNL并发症.
- 确定与PCNL并发症管理相关的新兴技术.
主要方法:
- 根据PRISMA-SCR指南进行范围审查.
- 在PubMed,科学网络和Scopus (2019-2024) 中进行文献搜索.
- 专注于预测性人工智能,3D外科模型,图像指导和生物标志物.
主要成果:
- 包括35项研究,重点关注人工智能,3D模型,图像指导和生物标志物.
- 3D模型增强了手术规划,减少了并发症.
- 在手术期间的指导系统可能会减少出血和辐射暴露.
- 生物标志物显示出预测败血症和其他并发症的潜力.
结论:
- 新兴技术在减少和预测PCNL并发症方面显示出前景.
- 为了验证这些发现,需要进行更大的前性研究.
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