血栓形成中的人工智能:变革潜力和新出现的挑战
Abdulrahman Al Raizah1, Mshabab Alrizah2
1National Guard Health Affairs, King Saud bin Abdulaziz University for Health Sciences, Saudi Society for Bone Marrow Transplantation, Riyadh, Saudi Arabia. alzairaab@mngha.med.sa.
Thrombosis journal
|January 17, 2025
概括
人工智能 (AI) 提供了诊断,预测和管理静脉血栓塞栓症 (VTE) 的新方法,这种疾病包括深静脉血栓症 (DVT) 和肺栓塞 (PE). 这篇评论探讨了人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 心血管医学 心血管医学
- 医疗保健中的人工智能
背景情况:
- 静脉血栓塞栓症 (VTE),包括深静脉血栓症 (DVT) 和肺栓塞 (PE),仍然是一个重要的临床问题.
- 尽管医学取得了进步,但VTE诊断,预测和管理仍然存在挑战.
研究的目的:
- 审查人工智能 (AI) 在改变血栓形成护理方面的潜力.
- 分析当前的人工智能应用和VTE管理的未来方向.
- 突出将人工智能纳入VTE临床实践的好处和挑战.
主要方法:
- 在VTE中对AI进行当前研究的文献综述.
- 对人工智能在VTE诊断,预测和管理中的应用进行分析.
- 检查AI在血栓瘤护理中的实施的潜在好处和挑战.
主要成果:
- 人工智能显示出改善静脉瘤诊断和风险分层的巨大潜力.
- 当前的人工智能工具在增强VTE治疗策略和患者监测方面表现有前途.
- 挑战包括数据质量,算法验证和AI解决方案的临床集成.
结论:
- 人工智能为推进VTE管理和改善患者治疗结果提供了变革性的潜力.
- 应对人工智能开发和实施方面的挑战对于其成功融入临床实践至关重要.
- 未来的研究应该专注于AI在血栓治疗中的强大验证和现实应用.
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