在活体脏捐赠中对人工智能的简要审查
Jasir Nawar1, Jennifer D Motter1, Jane J Long1
1Department of Surgery, NYU Grossman School of Medicine, New York, NY, United States.
概括
人工智能 (AI) 正通过预测和社会应用来增强活体捐献 (LKD). 这篇评论探讨了人工智能.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 移植 移植 移植 移植
背景情况:
- 人工智能 (AI) 越来越多地被用于医疗保健,移植 (KT) 的应用越来越多.
- 在 KT 中,现有的人工智能研究主要集中在已故供体移植上.
- 人工智能在活体脏捐献 (LKD) 中具有显著的,但尚未被探索的潜力.
研究的目的:
- 审查人工智能在活体脏捐献中的当前和潜在应用.
- 在LKD计划中专注于AI的预测和社会方面.
- 确定AI在LKD中的挑战,局限性和未来研究方向.
主要方法:
- 对人工智能在活体脏捐献中的应用进行系统的文献审查.
- 在LKD中分析预测建模和以社会科学为基础的AI工具.
- 讨论实施挑战和新兴趋势.
主要成果:
- 人工智能为LKD结果和捐赠者适合性提供了有希望的预测能力.
- 人工智能的社会应用可以解决捐助者参与和支持系统的问题.
- 实施面临挑战,包括数据隐私,伦理考虑和临床整合.
结论:
- 人工智能具有优化活体脏捐赠过程的巨大潜力.
- 负责任地整合人工智能需要解决道德和实际挑战.
- 需要进一步的研究才能充分认识到AI在LKD计划中的好处.
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