‘AIM4SafeBaby®’ (Artificial Intelligence monitoring for Safe baby birth)

–AIM4SafeBaby® –（人工智能监控婴儿安全分娩）

• 批准号: 10065844
• 金额: $ 58.08万
• 依托单位: 5GORECONN LIMITED
• 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
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10065844
• 关键词: AIM4SafeBaby; Artificial; Intelligence; monitoring; Safe

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

MBRRACE-UK报告重点介绍了2020年的2292个死胎和RCOG（皇家妇产科医生学院）的每个婴儿计数报告； 2022年重申，仅在2018年，在1145名婴儿中，有11％的婴儿在劳动期间死亡，有75％的婴儿患有严重的脑损伤，而14％的婴儿在生命的第一个月死亡。世界的活出生率为每年701,277,931 \ [1 \]，其中3％的出生率（21,038,337分/年）将有复杂且延迟的剖腹产。疾病预防控制中心（疾病控制和预防中心。）在美国报告，50,000名母亲受伤严重，每年700岁。在这些死亡中，有60％的死亡和一半的伤害可以通过适当的护理\ [2019年5月的报告（CDC）的生命体征\]。医疗保健安全调查部（HSIB）建议，卫生和社会护理委员会进行审查，以提高现有评估工具的可靠性，以最大程度地减少婴儿的风险\ [安全建议R/2021/148 \]。AIM4SAFEBABY项目对这些需求进行了临床临床convertal converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts converts。这种创新的监测设备将监测出生过程，并帮助临床医生，劳动妇女和他们的出生伙伴选择最安全的出生选择，以及所有可用选择的福利与风险。这将有助于及时，准确地管理出生，并减少母亲和婴儿的出生创伤。目前，尚无技术或集成的解决方案能够提供劳动过程的完整图景，并突出了为母亲和婴儿采取有根据的决策来实现安全，平稳的出生过程的风险。现有的劳动监测设备（例如EFM（电子胎儿监测）和CTG（心脏图））提供的发现不能作为在持续劳动期间实时做出决定的唯一来源。即使是训练有素的卫生专业人员，有时也很难准确，可靠地解释电子监视读数。可能会要求一名现场高级妇产科医生提供帮助，通常会失去婴儿健康的关键时间。因此，有一个巨大的范围可以通过我们基于AI的CTG监测和预测工具来最大程度地减少人类错误。\ [1 \]参考：联合国经济和社会事务部，人口部，2019年