Artificial Intelligence: How Medical Deep Learning Will Change The Healthcare Industry

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Artificial intelligence is not just a trend, but it will transform entire industries. Analysing medical data and predicting patient treatments will change healthcare forever. Though medical deep learning will never replace physicians.

When talking about artificial intelligence people fear that it will eventually replace humans at their jobs. Rather than destroying jobs computers will be able to help people doing their jobs better than they could without them. In radiology for instance, diseases and tumors may be detected faster with the help of medical deep learning. Radiologists receive computer-generated second opinions to consider during their diagnosis and help them in their decision-making. However, the physician remains the one making the final decision about what treatments to recommend and which next medical steps to take.

Watch Out For These Medical Deep Learning Projects

Telepaxx is already realizing some medical deep learning projects in cooperation with partners such as NVIDIA, INTEL, Fraunhofer MEVIS or the German University of Erlangen Telepaxx. Classifying medical data aims at improving patient treatments, quality assurance and scientific research while valuing data privacy and protection. Amongst the medical deep learning projects Telepaxx works at, 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. To do so, Telepaxx classifies medical data using the latest cluster and big data analysis and develops its own technologies along the way. Medical classifications are available for infrastructures and servers in clinics. These decentralized appllications ensure the highest flexibility and security needed for medical deep learning.