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Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

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Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
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Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
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数字经济学:走向人工智能 / 基于机器学习的精确心血管医学

Akihiro Nomura1,2,3, Yasuaki Takeji2, Masaya Shimojima2

  • 1College of Transdisciplinary Sciences for Innovation, Kanazawa University.

Circulation journal : official journal of the Japanese Circulation Society
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概括
此摘要是机器生成的。

数字经济学整合了各种数据,以进行个性化的心血管风险评估. 人工智能和机器学习 (AI / ML) 增强了这种方法,特别是通过数字心声学和AI文本生成器,推进精确的心血管医学.

关键词:
人工智能的人工智能是人工智能.数字经济学是数字经济学.生成性AI是一种人工智能.机器学习 机器学习音频心脏成像 (Phonocardiography) 是一种心脏成像技术.

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科学领域:

  • 心血管医学 心血管医学
  • 数字健康数字健康
  • 人工智能的人工智能

背景情况:

  • 传统的-omics技术为心血管疾病提供了分子洞察力.
  • 数字经济学将多式联络数据 (生理,成像,电子健康记录,可穿戴设备) 与多式经济学相结合.
  • AI/ML是全面健康框架的关键分析工具.

研究的目的:

  • 在数字经济学框架内审查AI/ML在心血管医学中的应用.
  • 突出数字心电图 (PCG) 和人工智能文本生成器作为有前途的工具.
  • 讨论AI/ML整合在精密心血管医学中的挑战和未来方向.

主要方法:

  • 对AI/ML在数字心声学中的应用进行回顾,以分析心脏声音.
  • 评估大型语言模型 (LLM) 用于医学知识评估.
  • 讨论AI/ML在临床实践中的整合策略.

主要成果:

  • 使用AI/ML的数字PCG可以客观地分析心脏声音并预测临床参数.
  • 在医学知识评估中,LLM的准确性很高 (超过80%).
  • 持续的发展解决了AI/ML知识准确性和一致性的挑战.

结论:

  • 由AI/ML驱动的数字经济学提供了增强的个性化心血管风险评估.
  • 数字PCG和AI文本生成器在心血管医学中显示出重大潜力.
  • 经过验证的AI/ML技术的战略实施可以推进精确的心血管医学.