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Provectus > 实例探究 > Pr3vent:机器学习驱动的疾病筛查平台,用于预防婴儿视力丧失
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Pr3vent: Revolutionizing Newborn Eye Screening with Machine Learning

技术
  • 分析与建模 - 计算机视觉软件
  • 分析与建模 - 机器学习
适用行业
  • 水泥
  • 教育
适用功能
  • 质量保证
用例
  • 临床图像分析
  • 计算机视觉
服务
  • 数据科学服务
  • 培训
挑战
Pr3vent 致力于通过计算机辅助诊断来提高患者诊断和眼部筛查的可用性。通过人工智能扩展医生的专业知识,它试图降低每次筛查的成本,以便更好地为美国 400 万婴儿提供服务,同时提高诊断准确性。
关于客户
Pr3vent Medical AI 是一家总部位于硅谷的诊断公司,致力于构建人工智能/机器学习驱动的眼部筛查解决方案,以检测和预防婴儿眼科疾病。
解决方案
基于机器学习的疾病筛查平台可处理、分析和标记各种医学图像以检测病理。它由三个组件组成:手动标记和存储图像、构建和训练 ML 模型以及供医生检查结果的应用程序。
运营影响
  • The ML-powered eye screening solution provided by Pr3vent has revolutionized the way newborn eye screening is conducted. The solution has not only made the process more efficient but also more accurate. With the ability to detect pathology in a newborn’s retina and fundus images with high accuracy, the solution is ready for FDA approval. If approved, Pr3vent’s solution could scale newborn screening in the United States and globally. By reducing cost per screening by 10x and by scaling ophthalmologists’ expertise through automation, it makes timely eye screening accessible to no less than 4 million babies in the US alone. This means that ophthalmologists can now focus on patients who require immediate assistance, instead of looking through dozens of normal images of healthy individuals. Given that up to 97% of eye conditions can be treated in the first few months of life, Pr3vent may significantly reduce the number of infants and adults suffering from vision impairment and vision loss.

数量效益
  • Achieved an accuracy of ~96% in detecting pathology in newborn eye retina

  • Achieved a 10x reduction in cost per screening

  • Made eye screening accessible to more than 4M infants in the US alone

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