Automatically identify cornary artery stenosis, chest fracture and suspected positive cases of ICH
This product is applicable to DICOM 3.0 CT images. AI algorithm is used to automatically identify coronary artery stenosis, chest fracture and suspected positive cases of ICH to help trained clinician achieve workflow triage.
This product uses AI algorithm to complete imaging abnormality marking of chest fracture automatically.
This product has coronary artery stenosis, fracture, ICH modules for users to choose.
The results of this product are intended to be used with other patient information and to assist in dividing/prioritising of medical images based on the doctor's professional judgment.
The notified clinician is responsible for viewing all images according to the nursing standard.
CT images
Browser-based viewer or integration into PACS/RIS
The performance of the device can reach the following indicators.
For Fracture triage module, the sensitivity is ≥80% and the specificity is ≥80%.
For ICH triage module, the sensitivity is ≥85% and the specificity is ≥85%.
For Stenosis triage module, the sensitivity is ≥80% and the specificity is ≥70%.
The safety and performance of Computer Aided Rapid Triage Software InferRead® CT Rapid Triage are acceptable.
