Imperial College London
An all-in-one AI platform that predicts musculoskeletal disorders through machine learning and computer vision
Arthronica™ is a monitoring and rehabilitation platform that uses computer vision, an AI technology that allows computers to understand and label images, to allow remote assessment and self-management of clinical conditions.
Current arthritis assessment is based on subjective scoring with high intra/inter reader variability, highly skilled expert time and patient travel, and low sampling frequency (i.e. monthly or quarterly assessments). The consequences; a heightened probability of failed clinical trials, increased costs, and excessive complexity in disease management.
Arthronica™ enables ubiquitous technologies to extract quantifiable objective biomarkers to monitor chronic conditions, and facilitate rehabilitation protocols.
We believe in a future whereby patient monitoring with be automated. People will be able to manage their conditions from the comfort of their homes. For healthcare providers, remote monitoring and rehabilitation will free specialist capacity. Furthermore, our technology will extend the application of telemedicine and remote consultations. Data collection and analysis by our AI tool will facilitate faster, more efficient, cheaper and more accurate methods of validating new drugs, while improving health and providing better, safer, sustainable care for all.
Diagnostics Accelerator Programme: market access planning and evidence generation
Delivered in partnership with the National Institute of Health Research London In Vitro Diagnostics unit this six-week evidence generation focused programme will support medtech innovators to de-risk the path to successful deployment through the development of a business case validating their clinical, financial and social claims. This way, when innovators approach the health system, they are comfortable in the knowledge that the product achieves what it is designed to do.Applications Open (closing 7 March 2021)