Suppr超能文献

产时监测中的智能胎儿心率计算机系统

Intelligent fetal heart rate computer systems in intrapartum surveillance.

作者信息

Greene K R

机构信息

Perinatal Research Group, Postgraduate Medical School, Derriford Hospital, Plymouth, Devon, UK.

出版信息

Curr Opin Obstet Gynecol. 1996 Apr;8(2):123-7.

PMID:8734128
Abstract

The intrapartum cardiotocogram has had a disappointing impact on clinical practice. Misinterpretation of the cardiotocogram not only causes an increase in unnecessary intervention but is also implicated in a large proportion of patients with birth asphyxia and avoidable perinatal morbidity. Over the past 10-20 years, groups have attempted to develop computer systems capable of analysing the cardiotocogram but with limited success. The likely explanation is that these conventional systems analyse the cardiotocogram in isolation from clinical factors. More recently, research has focused on the use of artificial intelligence techniques which can assess the whole clinical picture to support clinical decision making during labour. The current literature is reviewed and a system that has been validated by comparison of its performance with 17 experts is described.

摘要

产时胎心监护图对临床实践的影响令人失望。对胎心监护图的误判不仅会导致不必要的干预增加,还与很大一部分出生窒息和可避免的围产期发病率患者有关。在过去的10到20年里,一些团队试图开发能够分析胎心监护图的计算机系统,但成效有限。可能的解释是,这些传统系统在分析胎心监护图时没有考虑临床因素。最近,研究集中在使用人工智能技术,该技术可以评估整个临床情况,以支持分娩期间的临床决策。本文对当前文献进行了综述,并描述了一个通过与17位专家的表现进行比较而得到验证的系统。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验