Enlitic Deep Learning Head CT Triage
Enlitic’s deep learning models are trained by ingesting massive quantities of structured and unstructured medical data, enabling them to identify patterns of abnormalities and deliver insights, augmenting the work of radiologists and healthcare professionals and improving patient outcomes.
Enlitic, in collaboration with Trillium Health Partners, will train, test and deploy a head CT triaging model that will alert healthcare professionals to urgent conditions that require immediate attention, ensuring that when time is of the essence, patients receive the urgent care they require. The model will identify patterns of symptoms in a head CT that are indicative of a range of conditions, including intracranial hemorrhaging, acute stroke, and venous thrombosis.
This project will measure two end-points: improved accuracy in identifying abnormalities, and a clinical focus on turn-around times and improved outcomes.