Interpretable solutions for Machine learning (AI)
Accurate and interpretable medical image diagnosis to reduce hospitals loads and give doctors their patient time back
Our Value Proposition
We allow doctors to make a diagnosis on their medical imagery quicker, not taking away their decision making, but rather taking their inputs to further learn and validate while also providing standardised reports and interpretations to reduce admin work.
What is the problem?
Digital imaging such as X-rays, MRI and CAT scans allow doctors to see more but there is still a need for these images to be evaluated. Doctors need to be precise but there is a growing pressure to be more efficient as patient demand grows. Doctors also need to be able to explain and contrast their diagnosis and have accurate records. This ultimately leads to doctors currently struggling with limited time per patient.
A further issue is using AI to completely replace this function lacks accountability and raises ethical concerns if other AI techniques simply do all their tasks for them, as well as an increasing amount of IT systems they need to use.
Our system aims to solve all these problems with a precise AI that keeps doctors in the loop in a simply looking system that provides visual explanations and diagnosis reports as well.
How Interpretable AI solves the problem
Our value propositions come from a SaaS AI solution for medical diagnosis which is:
- user friendly
- explains diagnosis decisions based on comparison with other visual data
- is quick and accurate
- saves overhead, energy and time costs
- privacy preserving; there is no need for data sharing out of the hospital’s systems and standardises diagnosis reports
- tracks performance through statistics, data and feedback
- evolves learning by doctors feedback and provides doctors and experts with assistance
Our Team
Alvaro Lopez Pellicer
CEO and Founder
Plamen Angelov
Senior Expert Advisor
Chris Lowerson
Technology Transfer Officer
Nick King
Business Development Manager
Contact Us
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