对人工智能 (AI) 工具在器官移植的不同阶段的利用进行了深入的概述
Shiva Arjmandmazidi1,2, Hamid Reza Heidari1,2, Tohid Ghasemnejad3
1Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Journal of translational medicine
|June 18, 2025
概括
人工智能 (AI) 通过改善捐赠者-接受者匹配和移植后护理来增强器官移植. 本综述探讨了器官移植的所有阶段的人工智能应用,以优化患者的治疗结果.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 移植手术 移植手术
背景情况:
- 人工智能 (AI) 为医疗决策提供先进的计算工具.
- 人工智能擅长分析复杂的数据集,以更深入地了解医疗程序.
- 人工智能在器官分配,捐赠者与接受者匹配以及免疫抑制协议方面取得了重大进展.
研究的目的:
- 在整个器官移植过程中审查人工智能应用.
- 详细阐述人工智能在移植中的实施策略和工具.
- 突出AI在改善决策和患者治疗结果方面的作用.
主要方法:
- 从组织病理学报告,实验室结果,放射学特征和患者人口统计数据的数据整合.
- 利用机器学习 (ML) 预测药物生物可用性和移植后并发症风险.
- 在器官移植阶段对人工智能的现有研究的审查.
主要成果:
- 人工智能增强了移植前评估,捐赠者与接受者匹配以及移植后管理.
- 人工智能有助于分析复杂的数据,以更好地匹配和治疗策略.
- 机器学习模型根据各种患者因素预测移植后并发症.
结论:
- 人工智能显著改善了器官移植的所有阶段的决策.
- 人工智能工具优化了手术程序和移植后的治疗方案.
- 进一步整合人工智能有望提高器官移植的效率和成功率.
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