机器学习和人工智能用于诊断免疫功能低下患者的传染病
Nam K Tran1, Cileah Kretsch1, Clayton LaValley1
1Department of Pathology and Laboratory Medicine, UC Davis School of Medicine.
Current opinion in infectious diseases
|June 7, 2023
概括
人工智能和机器学习增强了免疫力低下患者的传染病检测. 这些技术有助于早期发现病原体,减少重症监护室入院和死亡等风险.
科学领域:
- 医疗信息学 医疗信息学
- 传染性疾病 传染性疾病
- 人工智能的人工智能
背景情况:
- 免疫功能低下的患者面临更高的感染风险,COVID-19增加了ICU入院率和死亡率.
- 早期和准确的病原体鉴定对于管理这种脆弱群体的感染至关重要.
结论:
- 人工智能和机器学习正在彻底改变传染病检测,为免疫功能受损的个体提供了改善结果的巨大潜力.
- 这些先进的计算工具对于解决免疫受损人群的诊断挑战至关重要.
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