Medical algorithms
3 months – this is when 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
weeks to assemble a team for you
2
months to develop an algorithm
Medical algorithms services we provide
Machine Learning in healthcare
Deep Learning in healthcare
Ground-truth preparation
Performance
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).
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.
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.
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
Full pipeline for ML processing
Image and vision computing
Existing technologies
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.
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.
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.
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
Multidisciplinary team
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.
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.
OUR SOLUTIONS
Our healthcare algorithms development pipelines get your project covered
Machine Learning medical project lifecycle
Our healthcare algorithms development pipelines get your project covered
Machine Learning medical project lifecycle
How we work on medical algorithm 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.
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.
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.
Implement. After implementation, algorithms can still be tested and refined based on actual data. If needed, your algorithm can be refined in the future.
Proven competencies in machine learning medical algorithms development
