Intracranial Hemorrhage Detection
Intracranial hemorrhage is an urgent condition detectable from non-contrast head CT exams. We have developed a deep learning algorithm that can detect ICH on non-contrast head CT images in just a few seconds. The algorithm can be incorporated into a software medical device to help third party worklist systems triage and prioritize reading of images for patients with ICH, thus improving the likelihood of prompt detection and intervention.
![](https://curacloud.net/wp-content/uploads/2019/12/Brain-ICH-Animation3.gif)
![](https://curacloud.net/wp-content/uploads/2020/02/ICH-productimage-510@2x.jpg)
This project detects ICH by analyzing non-contrast CT images. Integrated with a third-party worklist application, the algorithm output of whether a study suggests ICH condition is sent to the worklist application via the software’s application program interface. The worklist application can use this information for prioritization purposes.
- ICH detection
- Provides hemorrhage location and sizing
- Classifies five subtypes of hemorrhage
- Designed for worklist prioritization and triage
- Highly interoperable