数字病理世界巡回演出
Paola Chiara Rizzo1, Alessandro Caputo2, Eddy Maddalena3
1Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy.
Digital health
|September 1, 2023
概括
数字病理学 (DP) 呈现出快速增长,但其在常规临床诊断中的应用仍然有限. 对科学文献的分析显示,大多数DP应用程序都是非诊断的.
科学领域:
- 病理学 病理学 病理学
- 医疗信息学 医疗信息学
背景情况:
- 数字病理学 (DP) 有着悠久的历史,但目前正在获得显著的关注.
- 尽管技术进步,但DP在常规临床诊断中的广泛采用速度很慢.
研究的目的:
- 通过检查已发表的科学文献来分析全球采用数字病理学的情况.
- 为DP研究和应用趋势提供时间和地理洞察力.
主要方法:
- 在PubMed-MEDLINE和Embase进行了系统的文献搜索.
- 纳入标准包括所有涉及数字病理学应用的已发表研究.
主要成果:
- 在4888篇获取的文章中,有4041篇被纳入分析.
- 只有4% (147/4041) 的研究在常规诊断工作流程中使用DP.
- 绝大多数DP应用程序 (96%) 是非诊断的,包括人工智能 (33%),教育 (5%),评论 (17%) 和技术研究 (45%).
结论:
- 该研究强调了DP技术进步与其融入常规临床实践之间的巨大差距.
- 大多数发表的研究集中在非诊断应用上,这表明需要加速将DP转化为临床诊断.
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