一个多式一体化管道,用于精确诊断,病原体识别和肺部感染的预后预测
Jun Shao1,2,3, Jiechao Ma4, Yizhou Yu5
1Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu 610041, China.
Innovation (Cambridge (Mass.))
|July 18, 2024
概括
一个新的人工智能 (AI) 系统整合了临床文本和CT扫描,以准确诊断细菌,真菌和病毒性肺炎和结核病等肺部感染. 这种AI工具有助于早期干预和个性化治疗,改善患者的治疗结果.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 传染性疾病 传染性疾病
背景情况:
- 肺部感染带来了重大的全球健康挑战,死亡率高.
- 准确的诊断和及时的干预对于改善患者的结果至关重要.
- 人工智能 (AI) 提供了分析复杂医疗数据以提高诊断精度的潜力.
研究的目的:
- 开发和验证使用人工智能区分各种肺部感染的多模式集成 (MMI) 管道.
- 与经验丰富的医生相比,评估MMI系统的诊断性能.
- 探索MMI系统在指导治疗决策和预测严重疾病风险方面的实用性.
主要方法:
- 开发一个MMI管道,整合临床文本和计算机断层扫描 (CT) 图像数据.
- 在24107名患者的大型真实数据集上对AI模型的培训和验证.
- 在内部和外部测试数据集上使用曲线下的面积 (AUC) 度量来评估系统的性能.
主要成果:
- 该MMI系统实现了高诊断准确性,AUC为0.910 (内部) 和0.887 (外部),与医生相比.
- 该系统在区分病毒性和细菌性肺炎亚型 (AUC分别为0.822和0.803) 中表现出有效性.
- 人工智能系统在预测严重疾病风险和指导量身定制的药物建议方面显示出潜力.
结论:
- 开发的多式联络人工智能系统为准确和快速诊断各种肺部感染提供了强大的工具.
- 这种人工智能驱动的方法可以支持临床决策,优化治疗策略,并减轻抗生素的滥用.
- 在肺部感染管理中实施多式人工智能有望增强早期干预和个性化患者护理.
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