AI based Detection of Acute Respiratory Distress Syndrome (AI-DARDS)
Time period: 2021-01-01 to 2023-12-31
Project leader: Robin Augustine
Type of award: Project grant
Total fundning: 2 490 000 SEK
Purpose and goal: The aim of this project is to develop and complete a new medical technology system AI-DARDS, to enable healthcare in rural areas and in smaller towns to be diagnosed, monitored, and treated for non-cardiogenic pulmonary edema, a disease that is fatal to many patients. The goal of the project is to be able to validate the technology by providing proof of feasibility in order to prepare pre-commercialization activities for the technology when it comes to regulatory affairs, clinical testing, and market development. Expected results and effects: The development and completion of a mobile system for monitoring lung patients called AI-DARDS will enable a streamlining of care pathways and home health care to avoid further health risks for this patient group. The result of the project is to be able to validate the technology in order to then be able to initiate pre-commercialization activities. Approach and implementation: The project is divided in steps to reach the goal of proof of concept modality for diagnosing acute respiratory distress. The steps involve creation of a numerical dielectric profile of human thorax including diseased and non-diseased lungs, translate it into physical emulation model, develop sensor front ends using the emulation model, use AI to learn the model response with respect to emulation of various disease condition and then integrate the various components in one physical system with AI based predictive diagnosis. The results obtained will be disseminated and patented.