Artificial Intuition Technology from Ontonix.

Beyond Machine Learning.

Because of the immense complexity of the human body and due to the limitations of conventional mathematics, medicine lacks a systems perspective. Today, thanks to our Quantitative Complexity Science and Technology, it is possible to see a patient as a system of systems which interact and to provide real-time measures of his complexity and stability. This new approach provides unprecedented insight into the dynamics of a patient and enables us to issue early-warnings in an OR or an ICU. We offer a real-time engine which may be integrated into any IT system or device.

Our measures of a patient's complexity, stability or resilience are obtained in real-time not via a data-base look-up but by analyzing real-time streaming multi-channel data such as that available in an ICU or OR. Our system processes all channels as well as all channel interactions.



Complexity combines into a single number the interactions of multiple data channels. This is why it is ideal when it comes to representing systems described via numerous variables with intricate inter-dependencies.

With this approach we can deliver quantitative indices which combine in a rational manner multiple vital signs or markers.

REFERENCES

Medtronic

Military Institute of Medicine, Warsaw

Boston Scientific

MicroPort

Ospedale Sacro Cuore Don Calabria

US ARMY Instritute of Surgical Research (USAISR)

Azienda Opedaliera CTO

Biotronik