With aging populations and an ongoing medical development towards precision medicine healthcare systems are globally challenged by rapidly growing imaging data information. Physicians won’t be able to supply this enormous demand with high quality diagnosis.
Deep learning technology, a type of artificial intelligence, allows automated analysis of huge amounts of image data. Combining our in-depth understanding of healthcare with deep learning technology we provide decision support to radiologists and clinicians. Patients benefit from a better understanding of their medical imaging information and by receiving fast and accurate imaging diagnosis.
Further development of precision medicine will change the requirements of medical imaging. Reading of images has to consider all other available patient specific data to come up with the most the specific diagnosis for each individual patient.
Deep learning based imaging analytics and radiomics in combination with genomic, proteomic and metabolomic information are the basis to derive patient specific therapies.
Demand of patients for diagnostics will increase in the future. Patients expect to have access to their information and to understand the features. In parallel patients will continue to employ social network information to manage their health conditions. Thus provision of accurate medical diagnosis as well as own access to medical analytics tools will be a cornerstone for educated patient decisions.
To drive our ambitious goals we are partnering with best in class institution and companies to develop our solutions and machine learning algorithms.
Independent if you are a development, clinical or commercial partner contact us.