Artificial Intelligence
We didn’t wait for the next advance in healthcare. We are using artificial intelligence/machine learning to create it
Machine Learning
We train our AI with the user in mind, allowing anyone to easily run a health assessment. Our decision making is backed by machine learned models that are validated and enhanced by the knowledge of top and experienced doctors.
Natural Language Processing
Aegle uses natural processing language (NLP), a process focused on the interpretation and manipulation of human-generated spoken or written data. Using this process, our AI sources and filters disease symptom knowledge from public sources and compliments our already established database to deliver data-driven results with outstanding precision.
Build to Scale
Our AI integrates seamlessly into the clinical process. It guides the user through the health assessment process step-by-step, and automatically stores the results to the user’s medical record for clinical follow-up. It is easily deployed across many platforms.Use Aegle on smartphone or computer - no hardware required.
Built by Doctors
Aegle draws on vast quantities of mined data from top doctors, world-class scientists, researchers, and technologists, working side-by-side, to improve and accelerate every step of providing better healthcare. The strength of our platform comes from this integrated, end-to-end approach, combined with a relentless pursuit of clinical and technological excellence.
How our AI helps
Aegle AI can detect and analyse large and small trends from the data and make predictions through machine learning that's designed to identify potential health outcomes. Our machine learning process uses statistical techniques to "learn" with incoming data and to identify patterns and make decisions with minimal human direction. Armed with such targeted analytics, doctors may be better able to assess risk, make correct diagnoses, and offer patients more effective treatments.
How our AI helps
Aegle AI can detect and analyse large and small trends from the data and make predictions through machine learning that's designed to identify potential health outcomes. Our machine learning process uses statistical techniques to "learn" with incoming data and to identify patterns and make decisions with minimal human direction. Armed with such targeted analytics, doctors may be better able to assess risk, make correct diagnoses, and offer patients more effective treatments.
AI research
Aegle is working to embrace the opportunities which technology creates for us, as well as to consider how we may need to further develop our digital healthcare products. We approach this with an interdisciplinary team of mathematicians, computer scientists, and doctors, who aim to rethink the foundations of artificial intelligence. We’re also working to accelerate AI research through collaboration with like-minded institutions and individuals to push the boundaries of AI faster – for the benefit of industry and society. Visit our blog to see the latest from Aegle on AI Research.
Aegle's AI is intended for informational purposes only and does not provide medical diagnosis or treatment. Always seek the advice of your health care provider with any questions you may have regarding a medical condition or health care regimen.