
| Company Name | Qure.ai |
| Founded | 2016 |
| Head office | Mumbai, India |
| Website | http://qure.ai/ |
| Contact | partner@qure.ai |
Brain pathology detection, Mobile notifications, Report generation, Traumatic brain injury tracking, Worklist prioritization
Head CT scans are a first line diagnostic modality for patients with head injury or stroke. qER is designed for triage or diagnostic assistance in this setting. The most critical scans are prioritized on the radiology worklist so that they can be reviewed first. It detects critical abnormalities such as bleeds, fractures mass effect and midline shift, localizes them and quantifies their severity. In the US, FDA 510(k) clearance only for quantifying the volume of intracranial structures and lesions. See qER-Quant
Midline shift and lateral ventricles, Quantification of intracranial hyperdensities
qER-Quant's deep learning algorithms quantify the volume of intracranial structures and lesions. Clinicians can use these quantitative measurements to assist with determining the severity of the trauma, lesion or underlying disease, or to assist with the comparison of multiple CT scans. qER-Quant is part of qER in Europe. In the United States qER-Quant is available as a separate product.
Fracture detection with bounding box
qMSK is a deep-learning based X-Ray interpretation and labeling software. It screens radiographs of 15 anatomies (clavicle, ribs, shoulder, humerus, elbow, forearm, wrist, hand/fingers, hip, pelvis, femur, knee, tibia-fibula, ankle, foot/toe) for signs of fractures. The output is an additional DICOM with a summary of AI findings and a bounding box drawn around the suspected site of fracture, if any.