人工智能用于胃炎的自动诊断:一个系统审查
Daria Claudia Turtoi1, Vlad Dumitru Brata1, Victor Incze1
1Faculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania.
人工智能 (AI) 系统在从医学图像中诊断胃炎时表现出高准确度,通常表现优于人类专家. 这些人工智能工具可用于临床使用,提高诊断效率和胃肠病学患者的治疗结果.
科学领域:
- 胃肠病学 胃肠病学
- 医学成像分析 医学成像分析
- 人工智能在医学中的应用
背景情况:
- 胃炎是一种常见的胃肠道疾病,其原因和症状复杂.
- 当前的诊断方法 (临床,内镜,组织学) 可能导致误诊或忽视病例.
- 准确及时诊断对于有效的患者管理和改善结果至关重要.
研究的目的:
- 系统地审查和评估目前用于胃炎诊断的人工智能 (AI) 应用.
- 评估AI诊断工具在临床实践中的精度和可行性.
- 突出AI在提高诊断准确性和效率方面的潜在作用.
主要方法:
- 在PubMed,Scopus和Web of Science中进行全面的文献搜索.
- 包括到2024年7月发表的研究.
- 在胃炎诊断中对AI系统性能进行系统性审查和分析.
主要成果:
- 人工智能诊断工具在胃炎检测方面表现出高准确度,灵敏度和特异性.
- 在大多数研究中,人工智能系统的准确性超过了90%,超过了人类专家的性能.
- 人工智能自动诊断工具在临床实践中的实施目前是可行的.
结论:
- 基于人工智能的技术可以使用胃镜,数字病理学和放射学图像自动诊断胃炎.
- 深度学习模型在诊断,分期和瘤风险评估方面表现出卓越的准确性,灵敏性和特异性.
- 人工智能显著提高了胃肠病学中的诊断准确性和效率,为临床医生提供了宝贵的工具.
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