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Artificial Intelligence in Medical Imaging
Artificial Intelligence in Medical Imaging Skip to content Artificial Intelligence in Medical Imaging Toggle navigation Team Publications Research Teaching Student Projects Contact Datenschutzerklärung News Blog Go Source code: github.com/ai-med Youtube: AI-Med Channel Students: Open master theses DeepMentia: Deep Learning in Dementia The laboratory for Artificial Intelligence in Medical Imaging (AI-Med) is part of the Institute for Diagnostic and Interventional Radiology at the School of Medicine and Health of Technical University of Munich (TUM). In addition, we are affiliated with the TUM School of Computation, Information and Technology. In multi-disciplinary teams with technical and medical backgrounds, we work on clinically relevant questions by using machine intelligence. Such questions include metabolic disorders, psychiatric disorders, neurodegeneration, and the relationship between the brain and the rest of the body. Artificial intelligence is transforming healthcare. Medical images contain rich information that may only be partially observable with the naked eye. Computer algorithms can extract additional information, but for training complex models, large amounts of data are required. At the same time, Big Medical Image repositories emerged over last years as a result of large-scale research studies and decades of imaging in the clinic. Analyzing such huge datasets opens up many exciting research questions, both from a clinical and technical perspective. Advancing artificial intelligence in medicine can help addressing these questions by building up on an unprecedented amount of medical data. At AI-Med, we aspire to come up with true innovations in this field that have clinical relevance and perceive this is a challenge that can only be tackled through multi-disciplinary collaborations. Proudly powered by WordPress | Theme: Rambo by Webriti Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use. To find out more, including how to control cookies, see here: Cookie Policy   Loading Comments...   You must be logged in to post a comment.
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