现代临床实践中的人工智能 (综述)
Krupa Sara Thomas1, Sudeep Edpuganti1, Divina Mariya Puthooran1
1Department of Medicine, Faculty of Medicine, Tbilisi State Medical University, Tbilisi 0177, Georgia.
Medicine international
|December 22, 2025
概括
人工智能 (AI) 通过决策支持,图像分析和个性化医疗来增强临床实践. 然而,数据偏差,伦理问题和监管差距等挑战需要仔细实施,以确保安全采用.
科学领域:
- 医疗信息学 医疗信息学
- 计算医学是一种计算医学.
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 从基于规则的系统发展到复杂的机器学习和深度学习模型.
- 越来越多的大规模临床数据的可用性推动了人工智能的整合到医疗保健中.
研究的目的:
- 审查人工智能 (AI) 在现代临床实践中的当前作用.
- 确定与医疗保健中的AI相关的机遇和挑战.
主要方法:
- 文献综述综合了近期关于人工智能在医学中的应用研究.
- 分析AI对各种医学专业和患者护理的影响.
主要成果:
- 人工智能工具为放射学,病理学和皮肤病学等专业提供决策支持,预测模型,机器人协助和图像分析.
- 人工智能为心脏病学和精密医学提供了个性化的护理,提高了诊断准确性和优化工作流程.
- 潜在的应用包括风险分层成像和资源配置预测工具.
结论:
- 人工智能集成有望提高精度,优化任务和个性化患者治疗.
- 关键的挑战包括算法偏见,影响信任和问责的"黑子"问题,滞后的法规和实施成本.
- 安全有效的采用需要精心规划,验证和各利益相关者之间的合作.
关键词:
人工智能的人工智能是人工智能.心脏病学心脏病学心脏病学临床决策支持 临床决策支持深度学习是一种深度学习.数字病理学数字病理学医疗保健伦理学 医疗保健伦理机器学习是机器学习.医学成像医学成像精准医学是一门精准医学.机器人手术是机器人手术的一种方式.更多相关视频
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