‘AIM4SafeBaby®’ (Artificial Intelligence monitoring for Safe baby birth)
‘AIM4SafeBaby®’ (Artificial Intelligence monitoring for Safe baby birth)
批准号:
10065844
负责人:
金额:
$58.08万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
MBRRACE-UK报告重点介绍了2020年2292例死产和RCOG(皇家妇产科学院)的《每个婴儿都很重要》报告; 2022年重申,仅2018年,在1145名婴儿中,11%的婴儿在分娩过程中死亡,75%的婴儿患有严重脑损伤,14%在出生后第一个月内死亡。全世界每年的活产率为701,277,931 [1],其中3%(21,038,337出生/年)将进行复杂和延迟的剖腹产。CDC(美国疾病控制与预防中心)据报道,在美国,每年有5万名母亲严重受伤,700人死亡。这些死亡中的60%和一半的伤害可以通过适当的护理避免[Vital Signs The report(CDC),May 2019]。显然需要更好地监测劳动力数据。医疗保健安全调查分支(HSIB)建议卫生和社会护理部进行审查,以提高现有胎儿生长和胎儿心率评估工具的可靠性,以最大限度地降低婴儿风险[安全建议R/2021/148]。AIM 4SafeBaby项目满足了这一需求,并将创建一个创新的临床决策支持系统,将分娩数据转化为知识-更安全的婴儿分娩指南。这种创新的监测设备将监测分娩过程,并帮助临床医生、分娩妇女及其分娩伴侣选择最安全的分娩方案,以及所有可用方案的益处与风险。这将有助于及时准确地管理分娩,并减少对母亲和婴儿的出生创伤。“AIM 4SafeBaby”解决方案为临床医生提供了一个改变游戏规则的解决方案。目前,没有技术或综合解决方案能够提供分娩过程的全貌,并强调为母亲和婴儿安全顺利的分娩过程做出明智决定的风险。现有的分娩监测设备,如EFM(电子胎儿监测)和CTG(心脏分娩图),提供的结果不能作为唯一的来源,在正在进行的分娩过程中实时做出决定。即使是训练有素的卫生专业人员有时也很难准确可靠地解读电子监测仪读数。一个非现场的高级产科医生可能会被要求提供帮助,往往失去了婴儿健康的关键时间。因此,我们基于人工智能的CTG监测和预测工具可以极大地减少人为错误。[1]参考:联合国经济和社会事务部人口司,2019年
英文摘要
The MBRRACE-UK report highlights 2292 stillbirths in 2020 and RCOG (Royal College of Obstetricians and Gynecologists)'s Each Baby Counts report; 2022 reiterates that, in 2018 alone, amongst 1145 babies, 11 % of babies died during labour, 75% of babies suffered from severe brain injury and whilst 14% died in 1st month of their life. The world's live birth rate is 701,277,931 per year \[1\] and 3% of these births (21,038,337 births/year) will have complicated and delayed caesarean sections. CDC (Centers for Disease Control and Prevention.) reports, in the USA, 50,000 mothers are severely injured & 700 die annually. 60% of these deaths and half the injuries could be avoided with proper care\[Vital Signs The report (CDC), May 2019\].There is clearly a need for better monitoring of the labour data. The Healthcare Safety Investigation Branch (HSIB) recommends that the Department of Health and Social Care commission a review to improve the reliability of existing assessment tools for fetal growth and fetal heart rate to minimise the risk for babies \[Safety recommendation R/2021/148\].The AIM4SafeBaby project addresses this need and will create an innovative clinical decision support system that converts labour data into knowledge-based guidelines for safer baby delivery. This innovative monitoring device will monitor the birth process and help clinicians, labouring women, and their birth partners choose the safest birth option and the benefits versus risks of all the available options. This will help timely and accurate management of the birth and will reduce the birth trauma to the mother and the baby.'AIM4SafeBaby' solution offers a game-changing solution to clinicians. Currently, there is no technology or integrated solution able to offer a complete picture of the labour process and highlight the risks for taking educated decisions towards a safe and smooth birth process for both mother and baby. Existing labour monitoring devices like EFM(Electronic Foetal Monitoring) and CTG(cardiotocography) offer findings that cannot be relied upon as the sole source to make decisions in real-time during ongoing labour. Even highly trained health professionals sometimes struggle to interpret electronic monitor readings accurately and reliably. An off-site senior obstetrician may be called upon to help, often losing critical time for the baby's health. Hence there is an enormous scope to minimise human errors with our AI-based CTG monitoring and prediction tool.\[1\]Ref: United Nations, Department of Economic and Social Affairs, Population Division, 2019
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