Health Science Innovation

Rail Vision has been diversifying its activities into Biomedical Technology and HealthCare applications where a significant proportion of Machine Vision based Rail Technologies have direct application. Since 2013, Rail Vision has been actively working on collaborative projects with companies and academia to develop novel machine vision based sensor solutions for automation of AI based understanding of X-rays, CT, MRI and Ultrasonics data. We are also working on high speed imaging technologies for real-time applications, borrowing on our experience from using high speed image analytics on-board the trains. The following list shows some of our high profile R&D in this area,.

Rapid Triage Tool (RTT): A Novel AI based Device for Cranial Doppler Analytics for Improving Outcome in Traumatic Brain Injury Patients

Trans Cranial Doppler (TCD) is an effective portable diagnostic technique for measuring blood flow levels. During the Golden Hour immediately after a brain injury, such equipment can provide vital signal and image data for understanding patient health and deterioration over time, much before they can be brought into the hospital and admitted for extensive examinations such as CT or MRI. Delayed diagnostics and intervention can lead to long-term impairments or death in many cases. Automated TCD diagnostics may help take immediate remedial action to manage excessive extra cranial pressure, CSF, edema, cerebral vasospasm and other consequences. Unfortunately, the number of diagnostic experts who can interpret TCD data and make decisions is limited; it is not possible number of experts to match the number of devices available or for the experts to be always available at patient site. Artificial Intelligence based automated signal and image interpretation tools  that can interface with existing TCD devices and mimic expert decisions, offer an opportunity for better patient management in the golden hour period, and improved hospital resource management when preparing for patient arrivals. In this project, Rail Vision and King’s College London teams work collaboratively to develop a novel system called Rapid Triage Tool (RTT) which is interfaced for raw data input from existing TCD devices. RTT processor uses novel signal and image analytics algorithms that are built upon advice from TCD data interpretation experts and stakeholders in decision making (doctors, paramedics) to deliver expert diagnostic results using a smart device application. The application of RTT with TCD will allow users to get immediate diagnosis. Where a second opinion is needed, this project will develop a telemedicine based application to transfer TCD/RTT results and data to a remote clinical expert who can double check and verify diagnosis.

This project is supported by St. Thomas Hospital, RIMED, an Israeli manufacturer of TCD devices and ESI, a leading hospital in India; these will assist in provision of TCD data for laboratory testing, algorithm development and provide necessary clinical expertise for development and feedback during the project. RTT hardware offers extensive commercialisation opportunities. It will be agnostic to TCD device manufacturers offering an opportunity to work with multiple TCD device manufacturers. In addition, it will offer a modular approach to applying software enhancements, e.g. software functionality for stroke detection may be included at a later date broadening the application area beyond traumatic brain injuries.