人工智能和机器学习在肺栓塞的研究进展
Yue Li1, Limin Zhang1, Haoran Liu2
1Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Frontiers in medicine
|April 11, 2025
概括
人工智能 (AI) 为复杂的肺栓塞 (PE) 诊断和管理提供了有希望的解决方案. 这篇评论探讨了人工智能.
科学领域:
- 医学成像分析分析 医学成像分析
- 计算病理学计算病理学
- 医疗信息学 医疗信息学
背景情况:
- 肺栓塞 (PE) 具有复杂的病理生理学和诊断挑战.
- 严重的疾病负担需要改进预测和管理策略.
- 医疗技术的进步正在推动医疗保健中的AI应用.
研究的目的:
- 审查人工智能 (AI) 在肺栓塞 (PE) 中的当前应用.
- 探索AI在PE早期预测,查,诊断和预后方面的作用.
- 讨论人工智能在PE管理中的未来方向和挑战.
主要方法:
- 在PE诊断和治疗中对AI应用的文献综述.
- 分析AI在基于成像的PE检测中的潜力.
- 对人工智能用于PE风险评估和管理的当前研究的综合.
主要成果:
- 人工智能显示出在提升PE早期预测和查方面的巨大潜力.
- 基于人工智能的工具可以提高PE诊断的准确性和效率,特别是从成像数据.
- 人工智能应用正在出现,用于预后评估和PE患者的个性化管理.
结论:
- 人工智能对肺栓塞的早期检测,诊断和管理具有相当大的前景.
- 需要进一步的研究和开发来克服挑战,并将人工智能完全整合到PE的临床实践中.
- 人工智能可以为改善PE风险分层和标准化护理提供理论基础.
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