I-Cops: AI-based Heart Sound Screening for Early-Stage Heart Disease

I-Corps项目更广泛的影响/商业潜力是开发一种非侵入性筛查工具，使医生能够准确、客观地筛查心血管疾病，而不管症状是否存在。心血管疾病通常只有在心功能严重下降后才被诊断出来。早期发现无症状患者可以减少侵入性或早期治疗，以防止疾病进展，并确定需要挽救生命的新晚期患者。提出的技术区分异常和正常的声音，使用人工智能来提高心血管筛查的效率和准确性。I-Corps项目的基础是开发一种基于人工智能的诊断算法，该算法使用数字听诊器记录的心音，类似于医生在常规体检中使用的设备，来对心血管疾病的阶段进行分类。这项拟议中的技术使用一个数据库，将心音与疾病阶段和心功能联系起来。此外，提出的技术对声音描述符进行标准化和分析，以减少用户依赖的疾病分类错误。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of a non-invasive screening tool that will allow physicians to accurately and objectively screen for cardiovascular diseases, regardless of symptom presence. Cardiovascular diseases are often only diagnosed in late stages after heart function is severely diminished. Early detection of asymptomatic patients could lead to less invasive or earlier treatment to prevent disease progression and identify new late-stage patients in need of life-saving procedures. The proposed technology discriminates between abnormal and normal sounds, using artificial intelligence for improved efficiency and accuracy in cardiovascular screening. This I-Corps project is based on the development of an artificial intelligence-based diagnostic algorithm that uses heart sounds recorded from a digital stethoscope, similar to the devices currently used by doctors during routine physical exams, to classify cardiovascular disease stage. The proposed technology uses a database that correlates heart sounds to disease stage and cardiac function. In addition, the proposed technology standardizes and analyzes descriptors of sound to reduce user-dependent disease classification error.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.