XolaNets
XolaNets are Suite of Neural Network AI Models built by the Xolani Health Team which analyzes medical images for the sole purpose of assisting radiologist/pathologist in disease detection, reporting and also to serve as a second opinion.
Covid 19
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.
Breast Cancer (Mammography)
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 malignant.
Malaria
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 not.
Cardiomyopathy
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.
Musculoskeletal Abnomality
This is a quick demonstration of how we used Artificial Intelligence in X-ray analysis. Here, an X-ray image of a human bone is passed through our XolaNets to detect an Abnomality in the bone structure.
Breast Cancer - Invasive Ductal Carcinoma
XolaNet was used to detect Breast Cancer from slide images of Breast Cancer specimens. Here, these spacimens are passed through our XolaNets to detect if its an invasive ductal carcinoma (IDC).