人工智能在心脏瘤学中的应用:综合性审查
Avirup Guha1,2, Viraj Shah3,4, Tarek Nahle3,4
1Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA. aguha@augusta.edu.
Current cardiology reports
|February 19, 2025
概括
人工智能 (AI) 通过改善癌症患者心血管并发症的诊断和风险预测来增强心脏瘤学. 处理数据和道德挑战是AI的关键.
科学领域:
- 心脏瘤学 - 心脏瘤学
- 人工智能的人工智能
- 生物标志物发现发现
背景情况:
- 心血管并发症是癌症患者的一个重大问题.
- 早期发现和管理心脏毒性对于改善患者的治疗结果至关重要.
研究的目的:
- 审查人工智能在心脏瘤学的作用和应用.
- 探索AI对癌症患者心血管问题的诊断,预后,风险分层和管理的影响.
- 为突出AI在心脏瘤学方面的进步和挑战.
主要方法:
- 关于人工智能在心脏瘤学中的应用现有文献的综述.
- 分析人工智能与成像,电子健康记录 (EHR),心电图 (ECG) 和多omics数据的使用情况.
- 讨论数据异质性和道德问题等挑战.
主要成果:
- 人工智能利用多种数据源 (成像,电子心脏图谱,心电图,多组图) 进行早期心脏毒性检测和风险预测.
- 新的AI-ECG模型和成像技术提高了诊断的准确性.
- 多omics分析有助于识别用于个性化癌症患者治疗的生物标志物.
- 人工智能在早期检测和干预策略方面显示出巨大的潜力.
结论:
- 人工智能通过改善心血管并发症的早期检测和干预,显著推进了心脏瘤学.
- 解决数据异质性,透明度和道德问题对于人工智能采用至关重要.
- 未来的研究应该专注于人工智能的临床影响和伦理考虑,以提高患者的护理.
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