How it works.

We take publicly available statistical data and medical papers and use them to train AI. This allows us to predict what diseases may occur in the future or provide insights into current conditions.

Data collection

Using computational tools, we collect data from public sources on a variety of topics, including health care providers, medical journals, etc.

Model training

The collected data is used by our neural network models to learn about different aspects of medicine and healthcare. These models are used for predictions as well as providing insight into current conditions.

Applications

The neural networks can be applied in various ways such as predicting the occurrence of specific illnesses or providing insight into current conditions which will help doctors make decisions on diagnosis and treatment plans