Xolani Health

01

Musculoskeletal

XolaNet takes as input different views for a study of an upper extremity. On each view, the model predicts the probability of abnormality.

02

Breast Cancer

Using AI, we are able to detect from slides of breast cancer specimen, if there is presence of IDC.

03

Covid 19

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.

Key Features

We have delevoped several AI models – XolaNets for detecting Covid 19 Virus, Breast Cancer, Malaria, Bone Defects, Ejection Fraction of the Heart and more.

Medical Excellence

We are providing AI solutions to help modernize and digitize clinical operations and get more value from the ever-expanding health data.

Diagnostic Imaging

The XolaNet models have been trained to identfy several diseases with just a scan from images.

Speed and Accuracy

With our solution, speed and acuracy of diagnosis have been improved.

XolaNets

We have delevoped several AI models – XolaNets for detecting Covid 19 Virus, Breast Cancer, Malaria, Bone Defects, Ejection Fraction of the Heart and more.

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.
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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
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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
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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.
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