心脏病学中的人工智能:一个更新的系统性审查,其中包括在实施人工智能模型时的伦理考虑和挑战
Dev Patel1, Reshmitha Kantamneni2, Jabez David John3
1Department of Medicine, Lokmanya Tilak Municipal Medical College, Mumbai, Maharashtra, India.
Annals of medicine and surgery (2012)
|February 12, 2026
概括
人工智能 (AI) 显著改善了心血管诊断,比传统方法提供了更高的准确性和效率. 需要进一步的研究来应对最佳临床整合的挑战.
科学领域:
- 心血管医学 心血管医学
- 医疗人工智能 医疗人工智能
- 诊断技术 诊断技术的使用
背景情况:
- 人工智能 (AI) 在心血管医学中的整合提供了变革性的潜力.
- 人工智能旨在提高与传统方法相比的诊断准确性,效率和预测能力.
研究的目的:
- 系统地审查人工智能对心血管诊断的影响.
- 评估AI在准确性,效率和预测能力方面超越传统诊断方法的能力.
主要方法:
- 系统审查方法.
- 评估机器学习和深度学习在心血管诊断中的应用 (心声图,心电图,CT血管图,预测分析).
主要成果:
- 人工智能算法在识别微妙的心血管异常方面表现出卓越的表现.
- 人工智能系统实现了更高的诊断准确度,减少了观察者之间的变化,并使得早期的疾病检测.
- 人工智能在疾病进展和个性化治疗计划的预测分析方面表现有前途.
结论:
- 人工智能对改善心血管诊断准确性和患者的治疗结果具有重大承诺.
- 解决模型通用性,数据质量,伦理问题和算法偏见等挑战对于有效的AI集成至关重要.
- 本综述指导了未来的研究和临床实践,以便在心血管医疗保健中负责任地实施人工智能.
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