Support and Tracking of IPF patients using novel digital acoustic technologies

我们正在测试在移动的手机上运行的基于人工智能的新型数字系统的可行性和有效性，以支持对诊断为特发性肺纤维化的患者进行监测。我们项目评估的交付模式是全新的，通过使患者能够使用低成本的数字听诊器定期进行自我测试，并与患者自己的移动的手机无线连接，补充了现有的临床方法。嵌入在应用程序中的AI模块分析患者的呼吸声，并根据记录的各种听觉特征评估严重程度。分析结果和基础数据被上传到一个安全的云数据库，该数据库用于为监测医生提供仪表板视图-允许观察可能的恶化，新治疗计划的有效性，并与患者联系管理人员讨论治疗方案和其他检查。我们的商业模式是交付订阅-基于SAAS的大型医疗保健提供商负责管理和随访患有这种疾病的患者。

We are testing the feasibility and effectiveness of a new, AI-based digital systems running on mobile phones to support monitoring of patients diagnosed with Idiopathic Pulmonary Fibrosis.The delivery model assessed by our project is completely novel and complements existing clinical approaches by enabling patients to regularly self-test using a low-cost digital stethoscope, with wireless connection to the patient's own mobile phone. AI modules embedded in an app analyse the patients' respiratory sounds and make an assessment of severity in function of various auditory features of the recording. Analysis results and base data are uploaded to a secure cloud database which is used to feed dashboard views for monitoring physicians - allowing observation of possible deteriorations, effectiveness of new treatment plans and contact management with the patient to discuss treatment options and additional investigations.Our commercial model is delivery of a subscription-based SAAS to large healthcare providers responsible for management and follow up of patients suffering from this condition.