The Austrian press magazine “Profil” interviewed Richard Ljuhar, founder and CEO of ImageBiopsy Lab
Patients affected by age-related bone disease like knee-osteoarthritis (OA) are putting more and more pressure on health care systems in general and on physicians in particular. It is up to them to read and grade X-rays and come up with a clear pathway to either identify patients at-risk early on or stop an ongoing disease progression. However, time is a limiting factor and with more and more patients being affected by knee-OA, solutions are needed to standardize the analysis process.
Lets have physicians focus on what matters the most: the patients!
We are surrounded by computers and technology in every day’s life to make calculations faster or help us to understand things better. However, x-ray images are still analyzed visually which is time consuming and leads to possible inter- and intra-operator variabilities. The Austrian start-up company Image Biopsy Lab has developed a unique software that automatically analyzes knee radiographs. This method is already used to classify and grade OA based on accepted clinical scores. Furthermore, the software analyzes the bone structure which enables the earliest possible detection of OA without the need of costly 3D imaging.
Additionally, the team of IB Lab is already working closely with national and international research facilities on the early detection of rheumatoid arthritis and osteoporosis using x-ray images of hands, hips and spine.
Read here how a Austrian Start-Up wants to improve the early detection of arthritis with the aid of artificial intelligence (article in German):