临床决策支持多模式人工智能的新兴趋势:叙述性审查
1Department of Research and Development, Med-International UK Health Agency Ltd, Leicestershire, UK.
Health informatics journal
|August 14, 2025
概括
多模式人工智能 (MMAI) 通过整合各种数据来增强临床决策支持系统 (CDSS). 这种方法承诺更准确的诊断和个性化的患者护理,克服传统方法的局限性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 传统的临床决策支持系统 (CDSS) 受到单模数据的限制,这影响了预测准确性.
- 多模式人工智能 (MMAI) 集成多种数据类型 (图像,文本,音频,视频) 进行增强分析.
- 在医疗保健中,MMAI有可能克服单模数据的局限性.
研究的目的:
- 审查MMAI在医疗保健中的不断变化的作用.
- 探索MMAI在改善诊断灵敏度和治疗个性化方面的应用.
- 检查挑战,并为在临床环境中采用MMAI提供建议.
主要方法:
- 对MMAI技术及其临床应用进行叙述性审查.
- 检查MMAI的演变,包括大语言,视觉,视觉语言和大型多式模式模型.
- 分析与MMAI相关的伦理,技术和基础设施挑战.
主要成果:
- 通过异质数据合成,MMAI集成可以提高诊断准确度和治疗优化.
- 各种MMAI技术在临床环境中显示出实际应用.
- 关键的挑战包括数据质量,模型解释性,偏见和互操作性.
结论:
- 对于改变现代医学和患者护理,MMAI具有重大前景.
- 解决目前的局限性对于实现MMAI的全部潜力至关重要.
- 为利益关方负责任地采用MMAI提供了战略建议.
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