Computer aided detection of respiratory abnormalities on chest radiographs
Designed and made to DETECT and PROTECT
DecX is designed to help (non-expert) readers detect respiratory abnormalities more accurately and cost-effectively. DecX is a comprehensive AI clinical decision-support solution for chest X-rays, detecting respiratory chest conditions.
Powered by a robust AI
DecX, the artificial intelligence algorithm is trained on a broad dataset covering a spectrum of CXR machine equipment and manufacturers, departmental and portable imaging, patient demographics, and inpatient and outpatient groups.
Tuberculosis (TB) is one of the deadliest infectious diseases in the world. It affects over 10 million people with an annual mortality rate of 1.5 million in 2020. However, when diagnosed in time, TB is generally curable within 6 months. Unfortunately, about one-third of patients fail to receive a quick and accurate diagnosis or effective treatment, making them more likely to die from this curable disease.
Solving the problem of tuberculosis requires a diagnostic solution that is affordable, fast, accurate and easy to implement in resource-constrained and hard-to-reach regions.
In March 2021, the WHO recommended the use of Computer Aided-Detection (CAD) software instead of human readers to interpret digital chest X-rays for TB screening and triage.
Deep learning for Chest Conditions
The DecX software starts with a quick inspection of a new X-ray image. It normalizes the image to correct for input from various modalities, and then detects the many different abnormal structures that may be related to chest conditions. The system has been trained in the detection of these abnormalities by applying deep learning to healthy and diseased X-rays from all over the globe. The latest DecX version has also included covid 19 analysis.
Active TB & Respiratory Abnormalities Screening
The output of the DecX software is a score between 0 and 100, indicating the likelihood that the subject on the image has active TB or respiratory abnormality. The score also includes a texture heat map overlaying the original X-ray image which indicates abnormalities. Only if the output score is higher than a certain threshold will the patient need a subsequent sputum test to finalize the diagnosis. This process brings down both the cost and the time-to-treatment.