https://www.uni-kiel.de/en/details/news/115-osteoporosis-ai
'
Researchers at Kiel University have developed software that automatically
detects vertebral fractures on CT images and evaluates them prognostically.
The bone density of many people decreases as they get older. This process,
which is known as osteoporosis, often goes unnoticed, even if there are
fractures to the vertebral bodies. These fractures could be detected by means
of X-rays or computed tomography (CT), but this does not always occur. For
example, because the CT is done for a different reason and a vertebral fracture
is overlooked in the stress of everyday life in the clinic. Researchers led by
Professor Claus-Christian Glüer from the Section Biomedical Imaging at the
Department of Diagnostic Radiology at the University Hospital
Schleswig-Holstein (UKSH), Campus Kiel, and the Molecular Imaging North
Competence Center (MOIN CC), have developed software to improve osteoporosis
diagnostics. The program uses artificial intelligence (AI) methods to
automatically detect indications of osteoporosis and prognostically
unfavourable vertebral fractures on computer tomographies taken for a wide
variety of reasons. The latest findings were recently presented by Eren Yilmaz,
a doctoral candidate in the working group, at the "SPIE Medical Imaging"
conference in San Diego, California, and published in the conference transcript
Proceedings of SPIE (Society of Photo-Optical Instrumentation Engineers, SPIE).
The work in the Kiel Life Science (KLS) priority research area at Kiel
University (CAU) was funded by the ARTEMIS project from the Federal Ministry of
Education and Research and KI-RAD from the Federal Ministry for Economic
Affairs and Climate Action.'
Via
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*** Xanni ***
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mailto:xanni@xanadu.net Andrew Pam
http://xanadu.com.au/ Chief Scientist, Xanadu
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https://sericyb.com.au/ Manager, Serious Cybernetics