WE ARE GRAYLIGHT

Medical algorithms

3 months – this is the time we need to develop the medical algorithm for you. 

Save your time and scale your business with us.

We design and develop precise and cutting-edge machine learning medical algorithms tailored to our client’s requirements.

3

months to develop an algorithm

2

weeks to assemble a team for you

OUR SERVICES

Medical algorithms services we provide

Machine Learning in Healthcare

2 weeks – this is the time we need to build a team for you to develop a dedicated AI algorithm. We have a full and proven Machine Learning pipeline that assures efficient and fast development of AI algorithms – both machine learning and deep learning. Our efficiency is confirmed by top-ranked places in the numerous and prestigious global AI challenges (like BraTS and FeTS).

Deep Learning in Healthcare

Both traditional machine learning and deep learning are fields in which we have expertise. To meet your unique needs, we create advanced algorithms. Our scientists and software developers are actively involved in advancing the state of the art in deep learning.

Ground-truth preparation

For projects involving medical imaging and machine learning algorithms, we have created a ground-truth preparation process. We have an annotating team on board and we can help you with cohort data optimization.

Performance

Our brain tumor algorithm was top ranked in the RSNA-ASNR-MICCAI BraTS 2021 challenge. Our liver tumor segmentation model is in the current top 10 best solutions on the LiTS2017 Challenge Open Leaderboard.

Big Data

Our brain tumor algorithm was top ranked in the RSNA-ASNR-MICCAI BraTS 2021 challenge. Our liver tumor segmentation model is in the current top 10 best solutions on the LiTS2017 Challenge Open Leaderboard.

Full pipeline for ML processing

We have built a complete pipeline for ML-based data processing, which allows us to produce tailored solutions for our partners more quickly and efficiently.

Image and vision computing

Although our primary area of interest is MRI/CT image analysis and processing, in our success stories we have projects based on other modalities as well as vision analysis.

Existing technologies

Thanks to our experience and internal R&D projects, you can take advantage of technologies we already have to get your project done quicker.

Proven methodology

We use Crisp DM as our framework for machine learning elements of our solutions. We use agile delivery processes for traditional software elements, modified to deliver documentation required to support certification.

Multidisciplinary team

We have scientists, business analysts, bioengineers, annotators and software engineers on board. 250+ scientific papers and presentations at conferences such as RSNA, ECR and MICCAI demonstrate that our team of scientists and engineers can work on even the most challenging medical imaging projects.

Contact our team

Let’s talk about the details of your medical algorithms development project. We can create and develop it together.

We are ready to answer any questions.

OUR SOLUTIONS

Our healthcare algorithms development pipelines get your project covered

Machine Learning medical project lifecycle
Empty Date
$
Medical images
Empty Date
$
Data storage
Empty Date
$
Manual annotations
Empty Date
$
Dataset configuration
Empty Date
$
Model preparation
Empty Date
$
Models repository
Empty Date
Z
Inference results

GET TO KNOW US

How we work on medical algorithms development

  • Shape. We ensure that your needs are fully understood; we define how we will work together. We will also define the key elements of the solution and deliverables needed to support certification.
  • Create. We will usually consider several network types to establish algorithms. Initially, data will be used to train the algorithm. Then, additional data will be used to test and refine the algorithm.
  • Integrate and verify. Once the various elements of the solution have been made ready and tested in isolation, they are assembled and end-to-end verification takes place through formal trials.
  • Implement. After implementation, algorithms can still be tested and refined based on actual data. If needed, your algorithm can be refined in the future.

LEARN MORE ABOUT OUR COMPETENCES

Proven competencies in machine learning medical algorithms development

algorithms development to liver tumor segmentation

Liver and liver tumor segmentation

Automatic brain tumor segmentation with subregions

Segmenting pediatric optic pathway gliomas from MRI using deep learning – our contribution

Waiting for your questions

Let’s talk

Contact us if you have any questions about our algorithms development pipeline based on both machine learning and deep learning techniques.

We believe we can support you in achieving your goals.