Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the healthcare industry. This time, you get to discover 5 hand-picked startups developing stroke detection and prevention solutions.
Global Startup Heat Map: 5 Top Stroke Detection and Prevention Solutions
The 5 solutions you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 192 companies we analyzed for this specific topic.
BeSure offers Remote Cardiac Monitoring
Cardiovascular diseases are the leading healthcare concern in nearly all countries – especially in western countries – because of increasingly unhealthy lifestyle choices. The COVID-19 pandemic further adds to this concern due to the sharp reduction in exercise and day-to-day activity. To decrease the risk of emergencies, startups are using the Internet of Things (IoT) through wearables to monitor heart rate and predict the risk of stroke.
Netherlands-based startup BeSure develops a remote care platform focusing on stroke prevention, cardiovascular risks mitigation, medical decision support, and health plan optimization. The platform uses data from wearables and medical devices to make Artificial Intelligence-based predictions. Healthcare workers can then use the results for better patient interaction and optimized care and – if necessary – immediate treatment.
Lucia Health Guidelines develops a Stroke Prevention Platform
Atrial fibrillation (AFib), or irregular heartbeats, can lead to multiple cardiovascular issues including stroke. AFib is caused by a number of different conditions such as high blood pressure or cardiomyopathy. As more and more individuals suffer from these conditions, more health data becomes available for analysis on a large scale. Startups and scaleups are using Artificial Intelligence to analyze this data and, in turn, predict and prevent strokes.
Based in the USA, startup Lucia Health Guidelines develops a mobile application using proprietary machine-learning algorithms to diagnose AFib at the point-of-care. Once patients are diagnosed and cared for, they are discharged on guideline therapy and a hand off to the right long-term care practitioner ensures their continued safety. Additionally, the patient’s data is monitored in the Transitions of Care Portal to ensure the patient’s therapy is followed by the appropriate follow-on care.
Rithmi builds Heart Monitoring Wearables
The development of the Internet of Things (IoT), wearables, and biosensors has created an ecosystem of personal devices that track health information accurately. This abundance of electronic health records (EHRs) is analyzed by advanced AI and machine learning solutions to improve healthcare solutions. Startups are now further advancing wearables through specialized sensors to monitor heart conditions in detail.
Spanish wearable startup Rithmi develops a non-invasive wearable device to record and detect arrhythmias in real-time. The core of the technology is their photoplethysmography (PPG) sensor which works by analyzing the reflected light on the surface of the skin. The recorded data is analyzed in real-time with a level of accuracy similar to an electrocardiogram (ECG). Their device reduces the risk of strokes by providing a cost-effective and large-scale heart monitoring solution.
Viz.Ai creates an Intelligent Software for Stroke Treatment
When a patient suffers from a stroke, the window for effective treatment is very limited. This creates a bottleneck for patients seeking care from medical professionals. In many cases, the delay in treatment from the time of medical evaluation to the interpretation of results and determining the course of treatment causes negative patient outcomes. That is why startups work on improving the analytical process of diagnosing strokes, thereby saving valuable time.
Israeli startup Viz.ai develops an AI-based ischemic-stroke detection system using computed tomography angiography (CTA) images. The system uses multiple components such as the Viz PAGER which is an app that provides patient information. Viz LINK creates a channel of communication between neurology and cardiology professionals and the FDA-approved image analytics solution Viz LVO interprets the patient’s images.
AI4Medicine works on Personalized Health Analytics Software
Wearable and healthcare devices collect a myriad of information to provide dietary, wellness, and other recommendations based on users’ daily activity. As the amount and types of personal data improve with the advancements of sensor technology, more detailed analytics are generated too. Startups and scaleups use these technologies to create advanced analytics solutions that help prevent serious health problems such as strokes.
German startup AI4Medicine specializes in the development of personalized stroke prevention and treatment software. Their application uses data that is either directly imported or collected from the Apple Watch to identify symptoms of potential strokes. The parameters used in these analyses include age, height, sex, blood pressure, sleep, and weight. Additionally, the app tracks positive health changes that minimize users’ risk of strokes.
Discover more Healthcare Startups
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