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High Accuracy Vision System with Enhanced AI algorithm for IVF ICSI Process

High Accuracy Vision System with Enhanced AI algorithm for IVF ICSI Process
具有增强型 AI 算法的高精度视觉系统,适用于 IVF ICSI 流程
批准号:
10079725
负责人:
金额:
$17.92万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
高度精确的视觉摄像系统与增强的人工智能算法,以协助自动ICSI过程的试管婴儿治疗。不孕症影响着英国350万人,全球1.86亿人,是30-40岁人群最常见的健康状况,英国有106家体外受精诊所,全球有5000多家。据估计,全球约有10%的妇女受到影响,约14%的育龄夫妇面临挑战。由于人们推迟生育和男性精子数量低变得越来越普遍,预计这一数字还会上升。有生育问题的人患焦虑和抑郁的风险也更高。尽管存在巨大的问题,最常见和最有效的辅助生殖技术(ART);体外受精(IVF)在25年多的时间里没有明显的改善。在目前的过程中,胚胎学家选择最好的精子,并通过使用操纵杆的安装在显微镜上的机电显微机械手手动注射使卵子受精。这一过程取决于个人技能,并可能导致注射过程中的控制/准确性差、程序不一致、卵子损坏和不可避免的人为错误。这导致成功率低(约30%),患者在受孕前需要几个周期/程序,每个周期花费1万至12万英镑。由于缺乏高技能的胚胎学家,导致长时间的等待名单和低怀孕率,这一问题更加恶化。新技术对于提高受精成功率、提高诊所的盈利能力和NHS的成本效益至关重要。Myma Medical与伯明翰大学合作,并获得60万英镑的资助(IUK, EPSRC, MRC),设计了AutoICSI;首个自动化ICSI系统。AutoICSI目前处于TRL4阶段,概念证明已经证明卵子损伤减少(高达10%),人为错误和改善胚胎学家之间的不一致性,导致受精成功率比目前的试管婴儿增加10%。具有增强人工智能算法的高精度视觉摄像系统将大大提高AutoICSI系统的性能,使微移液器更容易跟踪、固定和挑选最符合条件的精子注射到卵子中。
英文摘要
Highly accurate vision camera system with enhanced AI algorithm to assist in automated ICSI process for IVF treatment.Infertility affects 3.5m people in the UK, 186m worldwide and is the most common healthcare condition for 30-40-year-olds, with 106 IVF clinics in the UK and over 5000 worldwide. It is estimated that approximately 10% of women globally are affected, with ~14% of couples in their reproductive age facing challenges. This is expected to rise due to individuals delaying having children and low sperm counts in men becoming more common. Individuals with fertility issues are also at a higher risk of anxiety and depression.Despite the huge problem, the most common and effective type of assisted reproductive technology (ART); in-vitro fertilisation (IVF) has seen no significant improvements in 25+ years. During the current process embryologists select the best sperm available and fertilise eggs by manual injection via microscope-mounted electromechanical micromanipulator using joysticks. This process depends on individual skill, and can result in poor control/accuracy during injection, procedural inconsistency, egg damage and inevitable human error. This leads to low success rates (~30%) and patients requiring several cycles/procedures before conception@£10k-12K per-cycle. This issue is worsened by a lack of highly-skilled embryologists resulting in long waiting lists and poor pregnancy rates. New technologies are essential to increase fertilisation success rates, increase profitability for clinics and cost-effectiveness for the NHS.In collaboration with University of Birmingham and £600k grant funding (IUK, EPSRC, MRC), Myma Medical has designed AutoICSI; a first-of-its-kind automated ICSI system. AutoICSI is currently at TRL4, proof of concept has demonstrated a reduction in egg damage (upto 10%), human error and improved inconsistencies between embryologists, leading to a 10% increase in fertilisation success rate compared with current IVF.The high accuracy vision camera system with enhanced AI algorithm will significantly improve performance of AutoICSI system by making it easier for the micro-pipette to track, immobilise and pick up the most conforming sperm for injection into the egg.
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老年人群视障风险VISION管控模式构建与实证研究
  • 批准号:
    71974198
  • 项目类别:
    面上项目
  • 资助金额:
    48.5万元
  • 批准年份:
    2019
  • 负责人:
    王爱平
  • 依托单位: