计算机辅助诊断乳病的进展:一个系统审查
Ivana Hartmann Tolić1, Marija Habijan1, Irena Galić1
1Faculty of Electrical Engineering, Computer Science and Information Technology, J. J. Strossmayer University, 31000 Osijek, Croatia.
精确诊断乳病 (CD) 是至关重要的. 本综述探讨了成像,生物标志物和计算机辅助诊断 (CAD),以改善这种自身免疫性疾病的早期检测和患者的结果.
科学领域:
- 免疫学 免疫学 免疫学
- 胃肠病学 胃肠病学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 乳病 (CD) 是一种普遍存在的自身免疫性疾病,在摄入质后影响遗传敏感个体.
- 质消费会导致CD患者的小肠损伤,影响全球大约1%的人口,往往导致诊断不足.
- 早期和精确的CD诊断对于减轻严重的健康并发症至关重要.
研究的目的:
- 批判性地审查当前关于乳病诊断进展的文献.
- 评估成像技术,生物标志物分析和计算机模型在提高CD诊断中的作用.
- 确定挑战和未来的方向,以改善乳病的诊断格局.
主要方法:
- 对乳病的诊断方式的综合文献评估.
- 评估用于识别肠道损伤的先进成像技术.
- 对用于非侵入性CD检测的生物标志物测定分析.
- 审查计算机辅助诊断 (CAD) 方法及其潜力.
主要成果:
- 先进的成像技术为乳病提供了显著的诊断能力.
- 生物标志物分析为CD检测提供了一种非侵入性的方法,尽管标准化是一个挑战.
- 计算机辅助诊断显示出加速CD诊断的希望.
- 整合各种数据 (成像,生物标志物,遗传学) 是未来进步的关键.
结论:
- 计算机辅助诊断对于快速追踪乳病诊断至关重要.
- 需要进一步的研究来标准化CAD协议,并将遗传/蛋白质数据集成到个性化治疗中.
- 诊断策略的进步将改善患者的治疗结果,并为自身免疫性疾病的管理提供信息.
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