Powered by an evolving Artificial Intelligence algorithm, Third Eye enables doctors to intervene early before its too late. Our AI utilises data routinely collected in intensive care to predict the risk of organ failure, mortality, and length of stay, in view of guiding doctors in evidence-based decision making.
Combining multiple facets of machine learning, ranging from unsupervised representation learning to meta learning, we have developed a truly multi-model system capable of running inferences on test, images and signals in unison. Our model enables us to make predictions that are put into situational context, just like a human would.
We do the AI, you do the life saving. We make it easy for health systems and hospitals to roll out our system by providing data analysis in the cloud, workflow integrated interfaces and constantly improving models and features. Always developed for our end users needs.
Instead of hand designing models which are suboptimal, we design AI algorithms that automatically design optimal models for us. AI designing AI.
Learning a shared representation across multiple tasks. Just like human learning, our AI models learns from different tasks using this to improve its performance in each task.
Instead of learning from labels conventionally, our model learns how to learn. Allowing our model to learn dynamically on unstructured data, in an ever changing environment and delivering a bias free model.
Our journey has been mentioned on the Institute of Global Health Innovation blog. Take a look behind the scenes with our CEO.
Third Eye Intelligence just made international news! Our founder Sam got invited to share his thoughts on how AI can address some of the most urgent needs of doctors fighting for patients lives in the ongoing pandemic.