基于人工智能的临床决策支持系统用于心血管疾病
Serdar Bozyel1, Evrim Şimşek2, Duygu Koçyiğit Burunkaya3
1Department of Cardiology, Health Sciences University, Kocaeli City Hospital, Kocaeli, Türkiye.
Anatolian journal of cardiology
|January 3, 2024
概括
人工智能 (AI) 提供先进的临床决策支持系统 (CDSS) 来应对心血管疾病 (CVD) 的挑战. 这些AI-CDSS有助于风险评估,诊断和治疗,改善全球的患者护理和结果.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡和残疾原因.
- 心血管疾病管理面临的挑战包括预防不足,诊断延迟,治疗应用不一致以及患者不合格.
- 现有的医疗保健系统很难有效地管理日益增长的心血管疾病负担.
研究的目的:
- 探索基于人工智能 (AI) 的临床决策支持系统 (CDSS) 在改善心血管疾病护理中的作用和潜力.
- 突出AI-CDSS如何解决心血管疾病预防,诊断和治疗中的关键差距.
- 强调人工智能应用在管理心血管健康方面不断发展的景观.
主要方法:
- 对应于医疗保健决策的AI技术的审查.
- 对AI-CDSS在风险评估,诊断,治疗优化和心血管疾病患者监测方面的功能进行分析.
- 讨论AI在心血管保健的临床工作流程中的整合.
主要成果:
- 基于AI的CDSS为医疗保健专业人员提供准确,个性化的信息.
- 这些系统提高了风险分层,早期诊断和针对心血管疾病的量身定制治疗策略的能力.
- 人工智能促进了持续的患者监测和早期预警系统,这对于管理诸如心血管疾病等慢性疾病至关重要.
结论:
- 基于人工智能的CDSS在解决心血管疾病管理的复杂性方面取得了重大进展.
- 有效实施需要高质量的数据进行培训和医疗专家的严格评估.
- 人工智能的持续发展和整合对全球降低心血管疾病发病率和死亡率具有重大前景.
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