Our proprietary imaging and teleradiology solution is designed with real-time collaboration features, providing hospitals with convenient access to radiologists and optimizing the interpretation process,
We are providing AI solutions to help modernize and digitize clinical operations and get more value from the ever-expanding health data.
The XolaNet models have been trained to identfy several diseases with just a scan from images.
With our solution, speed and acuracy of diagnosis have been improved.
We found a way of detecting Covid 19 from the X-ray of the human chest. Here, an X-ray image of a human chest is passed through our XolaNets to detect if the he/she is covid 19 Positive or Negative.Know More
This Model uses X-ray images of the human female Breast that have been scanned cancerous. These X-ray images are again, passed through our XolaNets to predict it state of being either benign or malignantKnow More
This is a demonstration of how we used Artificial Intelligence in detecting Malaria from blood samples of the humans. Here, a microscopic thin blood smear images is passed through our XolaNets to detect if there is presence of Malaria parasite or notKnow More
This demonstration was made on Echo-cardiogram videos. Here, images (frames) from a video of an echo-cardiogram is extracted and passed through our XolaNets to detect the Ejection Fraction - (EF) of the heart.Know More
XOLANI BRIDGE is our proprietary imaging and teleradiology solution designed to integrate seamlessly into clinical workflows. With real-time collaboration features, our platform optimizes the interpretation process, providing hospitals with convenient access to radiologists. Through our innovative technology, we aim to enhance medical imaging services, reduce delays, and drive better patient outcomes. Our online platform connects hospitals with a global community of radiologists, ensuring timely access to accurate interpretations and improving patient outcomes.