Many administrative tasks, like organizing time schedules and billing patients, can be automated with Information Extraction methods that are enabled by Machine Learning. Automatizatizing healthcare services will reduce costs and time spent on repetitive work, allowing staff to focus on more meaningful tasks.
Machine Learning (ML) methods are powerful tools to recognize patterns in visual data. Once a ML model has been trained, it can accurately categorize medical screening images, searching for specific patterns or features. Medical imaging can hence be automatically processed, supporting healthcare professionals with diagnosis and treatment suggestions.
Machine Learning (ML) algorithms can analyze large amounts of data, like medical records, environmental factors, genetic data, available treatment options, and much more. With this information, ML can help healthcare practitioners to provide refined diagnosis and customized treatment to patients.
We are a software company specialized in Algorithms and Machine Learning (ML) and most of our 30+ employees have a scientific background in Mathematics and Physics. We follow the developments in ML research and have multiple years of experience bringing this knowledge to customers and into production.
No Machine Learning task is alike. The data that is available and the requirements always differ and might not be captured by off-the-shelf software. From us, you get an individual solution. You own the code, the data and we integrate it into your current software environment.
We offer initial proof of concepts and the complete development of production software. Due to the experience and background of our team, we can as well offer larger research projects.
In our Tech Lunch we will give you 45 Minutes of information on a ML topic of your choice.
In our ML Expert talk you will get 1 hour consultation & discussion about your specific use case.
Not sure? Pick the first option.
Your dida-Partner:
Machine Learning Project Lead
I am new to Machine Learning
I have a project idea already