人工智能在成像检查中的大鼻炎诊断中的表现:系统审查
Gabrielle Cristiny Moreira1, Camilla Sthéfany do Carmo Ribeiro1, Francielle Silvestre Verner2
1Student, Postgraduate Programme in Applied Health Sciences, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares campus, MG, Brazil.
Dento maxillo facial radiology
|April 13, 2025
概括
人工智能 (AI) 在通过成像来诊断鼻炎 (MS) 时,表现与人类分析相似. 虽然人工智能可以帮助经验较少的临床医生,但由于证据的确定性非常低和方法异质性,需要进一步研究.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 大鼻炎 (MS) 诊断严重依赖于成像解释.
- 在这个诊断过程中,评估人工智能 (AI) 的有效性至关重要.
研究的目的:
- 系统地审查和评估AI在MS成像诊断中的表现,与人类分析相比.
- 将AI诊断能力与不同级别的人类专业知识进行比较.
主要方法:
- 六项追溯观察性研究的系统综述.
- 在五个电子数据库和灰色文献中进行了搜索.
- 使用QUADAS-2评估偏差风险;用GRADE评估证据的确定性.
主要成果:
- 人工智能证明了可比的人类分析对MS的诊断结果.
- 在研究中发现了严重的偏见风险和相当大的方法异质性.
- 证据的确定性被归类为非常低,结果严重不准确.
- 与住院医生或全科医生相比,专家们表现出更高的诊断能力.
结论:
- 人工智能可以作为MS诊断的宝贵补充工具,特别是对于经验较少的专业人士.
- 方法标准化和进一步的研究对于提高AI在MS成像中的可靠性和理解是至关重要的.
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