Intelligent digital solutions for stroke prevention and diagnostics

Stroke is an equally dramatic problem - it causes 5.7 million deaths worldwide, which is 9.7% (58.8 million) of all deaths (WHO 2008). Stroke is an increasing problem in countries with increasing elderly population. For instance in Japan, Singapore and China, stroke is already one of the main causes of death of elderly population. At the same time, possible efficient use of the available data, via AI, in the form of more advanced, data-driven decision support system (DSS) is largely neglected. The aim of Stroke-data project is to research the possibility to combine microwave technology sensors with other data sources e.g. from Kanta, medication, EEG, EKG, Balance, voice recognition etc. to develop a novel solutions for stroke prevention and diagnostics. The target of the novel solution is to facilitate differential diagnostics, triaging, and management of cerebrovascular conditions in cost-effective way. The developed solution will include the patient risk indicator and clinical DSS with tailored multimodal neuroimaging technologies, diagnostic algorithms, and artificial intelligence (AI) for diagnostics of cerebrovascular disorders (especially differentiate brain hemorrhage from ischemic stroke). The co-development of such solution require large data collection from the stroke patients as well as close collaboration between health experts, companies and researchers. Being succesful it has huge business opportunities and market in all the countries such as Japan, China, Singapore and Australia. One goal in the project is also to research what kind of business models the companies could use to sell the platform (data lakes) and stroke prevention & diagnostics solutions to the different countries.