人工智能在紧急和重症监护诊断中的应用:系统性审查和元分析
Jithin K Sreedharan1, Fred Saleh2, Abdullah Alqahtani3
1Department of Respiratory Therapy, College of Health Sciences, University of Doha for Science and Technology, Doha, Qatar.
Frontiers in artificial intelligence
|October 21, 2024
概括
人工智能 (AI) 显著提高了疾病诊断的准确性和精度. 人工智能模型使得早期检测成为可能,改善了患者的治疗结果,并推动了医疗保健的发展.
科学领域:
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在科学领域越来越重要.
- 人工智能模型可以检测出用于准确诊断疾病的模式.
- 将人工智能纳入医疗保健提供了显著的诊断效益.
研究的目的:
- 审查AI在疾病诊断中的应用.
- 评估人工智能模型的诊断性能.
- 突出AI在提高医疗保健精度方面的作用.
主要方法:
- 来自PubMed,ScienceDirect和Medline (2013-2023) 的研究的系统审查.
- 通过Rayyan网络工具进行初步选,随后进行个人调查员选.
- 使用用于诊断测试审查的 QUADAS-2 工具进行偏差评估.
主要成果:
- 针对诊断准确度指标分析了17项研究 (共12173项).
- 评估了AI在诊断特定疾病方面的表现:巴雷特瘤,心脏骤停,食道腺癌,败血症和胃肠道瘤.
- 在研究中报告了显著的异质性 (p值<0.05在95%置信区间).
结论:
- 人工智能在疾病诊断中具有很高的实用性,提供更高的精度和早期检测.
- 由人工智能促进的早期检测有助于预防疾病进展,并使及时治疗成为可能.
- 将人工智能集成到诊断中对于推进医疗保健和改善患者护理至关重要.
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