i5 Analytics informs targeted and precision screening programmes by using the most advanced Machine Learning technology for preliminary medical diagnosis or diagnosis stratification.
The i5 Analytics Web API responds with a probability score for a certain condition e.g. Atrial Fibrillation (AF) by providing patient history in JSON format, demonstrated by the simple application below.
To access the i5 AI Web API, please join our FREE Healthcare AI programme which will provide you with the codes required for App-Id and App-Key and for access to the API documentation. In the meantime, the demonstrator below can be used to submit experimental patient history to the prediction AI for Atrial Fibrillation (AF).
This is a demonstrator that uses a set of trained Neural Networks to identify the risk of a patient having an undiagnosed condition or developing the condition in the next 24 months. This tool uses past diagnostics for a patient that can be selected in the table below and use AI to evaluate the risk of undiagnosed conditions or the risk of developing a condition. To use this tool:
- Select pre-existing medical conditions from the drop down list
- Click "Add-Row" to include condition to medical history
- Select additional conditions and add to patient history
- After all conditions are listed, press the "Process Data with Neural Network" button
|Diagnosed Condition||Clinical Code|
Neural Network Result: