A Singapore based company is proposing a COVID-19 AI Detector which utilises a novel deep neural network based model to triage patients using X-Ray and CT scan images, for appropriate testing. They propose the use of chest X-Ray to prioritize the selection of patients for further RT-PCR testing. This may be useful in an inpatient setting where the present systems are struggling to decide whether to keep the patient in the ward along with other patients or isolate them in COVID-19 areas.
Such technology will also help in identifying patients with high likelihood of COVID with a false negative RT-PCR who would need repeat testing. Furthermore, the company proposes the use of modern AI techniques to detect the COVID-19 patients using X-Ray and CT scan images in an automated manner, particularly in settings where radiologists are not available, and help make the proposed testing technology scalable.
The company is looking for Singapore partners in the clinical/industry sectors. They are also open to potential overseas partners looking to take part in the 2nd EUREKA GlobalStars-Singapore Call. This will encompasses participants from the following countries: Austria, Belgium (Flanders), Canada, Estonia, Hungary, Netherlands, Poland, South Africa, South Korea, Spain, Switzerland, Turkey, Ukraine and United Kingdom.
The company is looking to collaborate with Singapore partners from clinical and industry sectors, who could be data owners, domain experts or medical/technology device owners. They are also looking at opportunities for prototyping and testbedding of their technology solution.