Artificial intelligence is the latest trend and will be much more than that. Analysing big data and predicting medical treatments will change healthcare as we know it. However, medical deep learning will not replace the work of physicians, it will rather amend it.
The most frequent misconception about artificial intelligence is, that it will eventually replace humans and destroy jobs. However, smart computers will rather help us humans do our jobs better than replace us at our jobs entirely. In radiology for instance, diseases and tumors may be detected faster with the help of deep learning, because radiologists get additional advice to consider during their diagnosis. In the end, it will always be the physician who makes the final decision about what treatments to recommend and which next steps to take.
These Medical Deep Learning Projects Should Be on Your Watch List
Telepaxx, one of the founders of HealthDataSpace, is already realizing some medical deep learning projects in cooperation with partners. In these projects Telepaxx classifies medical data in order to improve patient treatments, quality assurance and scientific research. While doing so, data privacy and protection always comes first. Together with NVIDIA, INTEL, Fraunhofer MEVIS and the German University of Erlangen Telepaxx works on several medical deep learning solutions. Amongst them are emergency notification services, e.g. in case of brain bleedings, worklist sortings in PACS (Picture Archiving and Communication System), automatic second opinions or medical research. Telepaxx classifies medical data using the latest cluster and big data analysis, whilst developing its own technologies also. Medical classifications are available for infrastructures and servers in clinics. These decentralized appllications ensure the highest flexibility and security needed for medical deep learning.