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人工智能和消化系统疾病内镜的研究趋势:从1990年到2022年的图书统计分析
Ren-Chun Du1, Yao-Bin Ouyang1,2, Yi Hu1,3
1Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
World journal of gastroenterology
|June 30, 2023
概括
人工智能 (AI) 在内镜中显著提高了消化系统疾病的检测. 人工智能在识别结肠直肠多和胃癌等疾病方面表现出很高的准确性,改善了诊断率.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地集成到胃肠内镜中.
- 人工智能应用旨在提高诊断准确度和检测消化系统疾病的效率.
研究的目的:
- 进行文献分析,评估人工智能辅助内镜在检测各种消化系统疾病中的应用.
- 确定AI辅助内镜诊断的趋势,关键贡献者和研究热点.
主要方法:
- 从1990年到2022年,在科学网络数据库上进行了系统的文献搜索.
- 关键词"AI"和"内镜"被用于检索相关出版物.
- 提取的数据包括出版物细节,国家,机构,疾病类型,AI性能和期刊影响.
主要成果:
- 总共分析了446项研究,其中2021年的出版物达到峰值.
- 中国,美国和日本在研究成果方面处于领先地位.
- 人工智能在检测结肠直肠多 (93.7%),胃癌 (88.3%) 和巴雷特食道 (87.6%) 中表现出高准确度.
结论:
- 人工智能显著提高了消化道疾病的检测率.
- 基于卷积神经网络的AI程序显示了对内镜图像的有希望的诊断性能.
- 人工智能辅助内镜代表了胃肠病诊断的宝贵进步.
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