Support and Tracking of IPF patients using novel digital acoustic technologies

我们正在测试一种新的、基于人工智能的数字系统在手机上运行的可行性和有效性，以支持对被诊断为特发性肺纤维化的患者的监测。我们项目评估的交付模式是完全新颖的，通过使患者能够使用低成本的数字听诊器进行定期自我测试，并无线连接到患者自己的手机，从而补充了现有的临床方法。嵌入APP中的人工智能模块分析患者的呼吸音，并对录音的各种听觉特征进行功能严重程度评估。分析结果和基础数据被上传到安全的云数据库，该数据库用于向监控医生的仪表板视图提供信息-允许观察可能的恶化情况、新治疗计划的有效性以及与患者的联系管理，以讨论治疗方案和其他调查。我们的商业模式是向负责管理和跟踪患有这种疾病的患者的大型医疗保健提供商提供基于订阅的SAAS。

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.