This tool is an indicative assistance for the authorities to take next line of action. It also reduces the workload of the health workforce. It enables quicker detection, therefore allowing for higher throughput. Additionally, the tool enhances diagnostic infrastructure in resource constrained settings and helps alleviate the burdens related to pathology tests.
Patients with ailments in lungs are undergoing Chest X-ray scans. This puts a tremendous amount of workload on radiologists as it becomes critical for them to report these CXRs urgently. Our tool, provides significant value in such a scenario and thus reduces the burden on radiologists.
Using any Mobile or Camera, take a picture of the X-ray and upload it into the system.
No installation is required. We developed a web-based solution which can be accessed on any PC or laptop having internet connection.
Yes, this tool supports both DiCom and JPG format.
No, this tool has been developed to help handle the current pandemic, and the necessary certifications are being processed.
At the moment, this tool will only detect Corona infection, and not any other disease. However, we are also exploring detection of other diseases as well.
The tool will detect infection following the various types of opacity: Peripheral Patchy Opacity, Ground Glass Opacity, Lower Zone Opacity, Consolidation, Perihilar Consolidation.
The tool detects infection based of a Chest X-ray, so showing or not showing any symptoms is irrelevant.
Chest X-rays have emerged as the frontline screening and diagnostic tool for Lung infection and are used in conjunction with clinical history. Ground glass opacities and consolidations which are peripheral and bilateral in nature are attributed to be the most common findings with respect to Lung related infections on CXRs. CXRs can help in identifying Lung related infections and can be used as a triage tool in most cases.
Sensitivity is 0.95, Specificity is .76, Positive Predictive Value is .760, Negative Predictive Value is .95
Only respective Doctor can provide this information.
The evidence is Collaborative Supportive.
An X-ray of the Frontal Part works the best for detecting lung disease.
An X-ray can be uploaded through a mobile, laptop or PC. It should be in JPG or Dicom format. While uploading the X-ray, make sure that there are no fingerprints or any other markings on it. X-ray file resolution must be minimum 500*500 pixels, less than 30MB.
A Abnormal test result will display the Confidence Score percentage which indicates how likely the person is having a lung disease. It also shows the X-ray in heat map for the disease with the highest score, focusing on the chest area’s that have been highly affected.