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AI in the Healthcare System – Part 2: Data Knows Nothing

Talk

Date
April 9, 2019

Time
15:45 - 16:45

Location
_Hub 4, Hall 4.2

Will artificial intelligence revolutionize healthcare? Will AI help us deal with annoying documentation tasks, make therapy decisions and replace the radiologists in the future? Or will we soon realize with disillusionment that many of the computing tasks in the medical field are too complex and too flawed to use AI?

Two panels will shed light on artificial intelligence in its current application and future in health care.

In fact, software technologies such as machine learning or deep learning combined with advanced computing, memory processing, and big data, speech, and image processing technologies enable applications today that were unthinkable a few years ago. In healthcare, we often encounter "weak" AI, that is, software solutions for specific application problems, such as speech recognition or navigation system. The "strong" AI, on the other hand, should have the same intellectual skills as humans, or even surpass them. Software that reacts to unpredictable events or makes decisions despite insecure knowledge is scarcely found in the current German healthcare system.

This panel will bring the audience back to the - sometimes sobering - bottom of the facts. How intelligent is healthcare software today really? Can intelligent software be reimbursed, certified and do medical staff or patient trust its use in health care? Where does artificial intelligence already come to meet us in the health care sector without patients or doctors noticing it?

This session is organised and held by the Project Group Artificial Intelligence of the German Association of Health IT Vendors – bvitg e. V. and the Cluster HealthCapital Berlin Brandenburg

Contributors

Moderation:
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Dr. Tobias Knobloch, Capgemini

Speaker:
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Dr Peter Gocke, Head of Digital Transformation Unit, Charité – Universitätsmedizin Berlin

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Dr Eduard Hergenreider, Solution Manager, SAP

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Daniela Kluckert, Member of the German Parliament (MdB), Deutscher Bundestag

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Dr Wojciech Samek, Head of Machine Learning Group, Fraunhofer Heinrich-Hertz-Institut

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Dr. Margret Stennes, Chairwoman of the Board, Association of Statutory Health Insurance Physicians, Berlin