
| Company Name | Infervision |
| Founded | 2015 |
| Head office | Beijing, China |
| Website | http://www.infervision.com/ |
| Contact | europe@infervision.com |
ASPECT score calculation, Dynamic evaluation, Intracranial hemorrhage detection and quantification, Midline shift detection
No description available
COVID-19 alarm functionality, Pneunomonia detection, Report generation
InferRead CT Pneumonia allows for screening of the COVID-19 detecting pneumonia in less than one minute. The main functionalities incorporate displaying the number of affected lung lobes, its degree of infection, the location and contouring of the lesion, assessment of the evolution of the infection and an alert system that warns if there is a suspected positive case of COVID-19. This solution is aimed to help patient triage and detect early COVID-19 positive cases.
Lung nodule detection, Multi-timepoint analysis, Report generation
InferRead CT Lung is a processing solution for lung cancer screening. It recognizes the core features of lung cancer, determine the characteristics of suspected lung nodules in different image sequences and aims to aid early-stage diagnosis. This solution provides information on nodules, including position, size, density, malignancy rate and evolution.
Abnormality detection
InferRead DR Chest aims to detect diverse pathologies in a single X-Ray image. It is able to detect 14 different pathologies including pneumonia, tuberculosis, fracture, nodules, pleural effusion or pulmonary infection among others of high interest. This solution is aimed at detecting incidental findings and at those cases where rapid and cost-effective diagnose must be made such as the emergency rooms or small healthcare centers where CT scans are not available or where a second reading is required.
Bone tumor and metastases detection, Chest fracture detection
InferRead CT Bone is used to automatically identify chest fracture.
Coronary artery stenosis detection
InferRead CT Coronary is used to automatically identify coronary artery stenosis.