Artificial intelligence for medical imaging analysis

How

We analyze medical imaging using computer vision and deep learning to help physicians cope with work overload and to avoid mistakes.
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Medical Imaging

Medical Imaging is a technique for creating visual representations of the interior of a body for a clinical analysis. It leverages imaging technologies such as X-ray radiography, magnetic resonance imaging or positron emission tomography. We develop software that analyzes medical images in order to detect and describe pathological changes in organs.

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Computer Vision

Computer Vision is a computer science field that aims to gain a high-level understanding of images and videos. We apply computer vision techniques in order to analyze medical images and build predictive models.

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Deep Learning

Deep Learning is the state-of-the-art method for building a data representation. We use novel architectures such as Residual Neural Networks or Fully Convolutional Neural Networks for training machine learning models capable of understanding medical images

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Technology Stack

Python is our programming language of first choice. We build our machine learning modules around a set of libraries:
- Caffe
- PyTorch
- Theano
- Lasagne

We want to increase the accessibility of diagnostic imaging

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Meet our team!

We are the team of medical doctors and machine learning experts
Michal Sosinski

Michal Sosinski

Co-Founder
Andrew Brozek

Andrew Brozek

Co-Founder
Matthew Opala

Matthew Opala

Co-Founder