Medical algorithms
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Benefit from our scientists, business analysts, bioengineers, annotators, software and ML/DL engineers. We have experience with projects of varying complexity and based on different types of medical data.
Medical algorithms development
Machine Learning in healthcare
Our proven Machine Learning pipeline assures efficient and fast development of AI algorithms – both machine learning and deep learning ones.
Deep Learning in healthcare
We are experienced in applying deep learning techniques to various tasks, including medical imaging analysis, and clinical decision support, or drug discovery.
Ground-truth preparation
Our experts established a ground-truth preparation process. Additionally, we can support you with an annotating team as well as cohort data optimisation.
Performance
We carefully listen to our clients and jointly determine the method for measuring algorithm performance, aiming for generalization and bias-free models.
Full pipeline for ML processing
Check our complete pipeline for ML-based data processing, which allows us to create tailored solutions for our partners more quickly and efficiently.
Expertise in diverse data
Although our primary area of interest is medical image analysis, in our success stories we have projects based on other data as well as vision analysis.
Medical algorithms development
Machine Learning in healthcare
Deep Learning in healthcare
Ground-truth preparation
Our proven Machine Learning pipeline assures efficient and fast development of AI algorithms – both machine learning and deep learning ones.
We are experienced in applying deep learning techniques to various tasks, including medical imaging analysis, and clinical decision support, or drug discovery.
Our experts established a ground-truth preparation process. Additionally, we can support you with an annotating team as well as cohort data optimisation.
Performance
Full pipeline for ML processing
Expertise in diverse data
We carefully listen to our clients and jointly determine the method for measuring algorithm performance, aiming for generalization and bias-free models.
Check our complete pipeline for ML-based data processing, which allows us to create tailored solutions for our partners more quickly and efficiently.
Although our primary area of interest is medical image analysis, in our success stories we have projects based on other data as well as vision analysis.
Our healthcare algorithms development pipelines get your project covered
Machine Learning medical project lifecycle
How we work on medical algorithm development
Shape. To start, we’ll make sure we completely grasp your requirements. Secondly, we’ll map out how we’ll collaborate. Our experts will also identify the key solution components and the deliverables needed for 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. Usually, we 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.
How we work on medical algorithm development
Shape. To start, we’ll make sure we completely grasp your requirements. Secondly, we’ll map out how we’ll collaborate. Our experts will also identify the key solution components and the deliverables needed for 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. Usually, we 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
Proven competencies in machine learning medical algorithms development
