干预心脏病学的人工智能:创新和挑战
Dmitrii Khelimskii1, Aram Badoyan1, Oleg Krymcov1
1Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation.
Heliyon
|September 16, 2024
概括
人工智能 (AI) 在干预心脏病学中提供了显著的潜力,改善了冠状动脉心脏病的诊断和治疗. 这篇概述探讨了AI.
科学领域:
- 医疗技术 医疗技术 医学技术
- 心脏病学 心脏病学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入日常生活和医学.
- 人工智能在各种科学和技术领域已经证明了其有效性.
- 干预性心脏病学广泛利用可视化技术进行诊断和治疗.
研究的目的:
- 提供人工智能研究在干预心脏病学中的概述.
- 讨论AI在这个领域的实际应用.
- 确定阻碍人工智能在干预心脏病学中广泛应用的挑战.
主要方法:
- 审查目前的AI研究在干预心脏病学.
- 分析患者护理中的实际人工智能应用.
- 识别人工智能实施的障碍.
主要成果:
- 人工智能技术在干预心脏病学中正在积极研究和实施.
- 人工智能显示出降低成本和改善患者治疗结果的潜力.
- 具体的挑战阻碍了神经网络在临床实践中的广泛使用.
结论:
- 人工智能在推进干预心脏病学方面具有相当大的前景.
- 需要进一步的研究和开发来克服实施障碍.
- 人工智能的广泛采用可以提高冠心病的诊断和治疗.
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