使用区块链辅助聊天机器人进行负责任的CVD查,该聊天机器人由可解释的AI驱动.
Salman Muneer1, Sagheer Abbas2, Asghar Ali Shah3
1Department of Computer Science, University of Central Punjab, Lahore, Pakistan.
Scientific reports
|April 4, 2025
概括
人工智能 (AI) 和区块链技术 (BCT) 可以改善心血管保健. 将可解释AI (XAI) 与BCT集成,可以提高诊断心血管疾病的信任度和准确性.
科学领域:
- 心血管健康的心血管健康
- 医疗信息学医学信息学
- 人工智能的人工智能
背景情况:
- 心血管疾病 (CVD) 是一个日益增长的全球医疗保健挑战.
- 传统方法很难为心血管疾病管理提供安全可靠的解决方案.
- 像人工智能 (AI) 和区块链技术 (BCT) 等新兴技术为安全和负责任的医疗保健决策提供了潜力.
研究的目的:
- 为心血管健康提出一个可解释的AI (XAI) 方法,与区块链技术 (BCT) 集成.
- 为了提高医疗专家的心血管护理的解释性和问责制.
- 提高对医疗保健领域人工智能和BCT应用的信任,特别是在心血管诊断方面.
主要方法:
- 开发一个可解释的人工智能 (XAI) 模型.
- 将XAI与去中心化区块链技术 (BCT) 集成,以实现安全的数据处理.
- 与心血管预测现有方法相比,对拟议方法的评估.
主要成果:
- 拟议的XAI和BCT方法实现了最高准确率的97.12%.
- 与之前的方法相比,在心血管预测方面表现优越.
- 该系统提高了临床决策过程中的解释性和责任性.
结论:
- 综合的XAI和BCT方法为复杂的心血管健康挑战提供了有希望的解决方案.
- 这种方法提高了对医疗保健的信任和透明度,特别是在诊断应用中.
- 这种高精度表明了这种方法在可访问和可靠的心血管护理方面的潜力.
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