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Extending The Power Of Attosecond Spectroscopy

Scientists at EPFL have shown that the powerful transient absorption spectroscopy technique can unravel ultrafast motion of electrons and nuclei in a...

Switzerland , Swiss , Nikolay-golubev , German-research-foundation , Us-army-research-office , Priority-programme , Alexander-kuleff-at-heidelberg-university , Laboratory-of-theoretical-physical-chemistry , Swiss-national-science-foundation , Society-in-science , Theoretical-physical-chemistry , Alexander-kuleff

AI-Based Approach can Help Diagnose Neurological Diseases

AI-Based Approach can Help Diagnose Neurological Diseases
Written by AZoRoboticsApr 8 2021
The way humans move reveals many things about the condition of their brains. Although normal motor behavior indicates a healthy function of the brain, deviations can point to impairments caused by neurological diseases.
Image Credit: whitehoune/shutterstock.com
The observation and assessment of movement patterns are part of a fundamental study and are, similarly, one of the most significant instruments for non-invasive diagnostics in clinical use.
In this context, a new computer-based method has been designed at Heidelberg University under the guidance of Dr Björn Ommer, a Professor and computer scientist, and in association with scientists from Switzerland.

Germany , Zurich , Zusz , Switzerland , Heidelberg , Baden-wuberg , German , Swiss , University-hospital-zurich , Branco-weiss-fellowship-society-in-science , Scientific-computing-at-heidelberg-university

Heidelberg University: USING AI TO DIAGNOSE NEUROLOGICAL DISEASES BASED ON MOTOR IMPAIRMENT

Heidelberg University: USING AI TO DIAGNOSE NEUROLOGICAL DISEASES BASED ON MOTOR IMPAIRMENT
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News - Research in Germany

News
07 Apr 2021 | Source: Universität Heidelberg
New Heidelberg approach: analysing movement patterns through machine learning
The way we move says a lot about the state of our brain. While normal motor behaviour points to a healthy brain function, deviations can indicate impairments owing to neurological diseases. The observation and evaluation of movement patterns is therefore part of basic research, and is likewise one of the most important instruments for non-invasive diagnostics in clinical applications. Under the leadership of computer scientist Prof. Dr Björn Ommer and in collaboration with researchers from Switzerland, a new computer-based approach in this context has been developed at Heidelberg University. As studies inter alia with human test persons have shown, this approach enables the fully automatic recognition of motor impairments and, through their analysis, provides information about the type of the underlying diseases with the aid of artificial intelligence.

Germany , Zurich , Zusz , Switzerland , Heidelberg , Baden-wuberg , German , Swiss , University-hospital-zurich , Branco-weiss-fellowship-society-in-science , Scientific-computing-at-heidelberg-university

Using AI to diagnose neurological diseases based on motor impairment

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The way we move says a lot about the state of our brain. While normal motor behaviour points to a healthy brain function, deviations can indicate impairments owing to neurological diseases. The observation and evaluation of movement patterns is therefore part of basic research, and is likewise one of the most important instruments for non-invasive diagnostics in clinical applications. Under the leadership of computer scientist Prof. Dr Björn Ommer and in collaboration with researchers from Switzerland, a new computer-based approach in this context has been developed at Heidelberg University. As studies inter alia with human test persons have shown, this approach enables the fully automatic recognition of motor impairments and, through their analysis, provides information about the type of the underlying diseases with the aid of artificial intelligence.

Germany , Zurich , Zusz , Switzerland , Heidelberg , Baden-wuberg , German , Swiss , University-hospital-zurich , Branco-weiss-fellowship-society-in-science , Scientific-computing-at-heidelberg-university