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Posts by RAYLYTIC

AIQNET: A Simplified Route to MDR Approval

The rapidly changing regulatory landscape in the EU demands compelling technological solutions.
AIQNET, initiated by RAYLYTIC, is aimed at producing a digital ecosystem that simplifies regulatory approval procedures by providing medical device manufacturers with access to ethically and legally collected, highly structured clinical data.

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Artificial Intelligence: Whitecloud Award nomination for IMAST abstract

The abstract “Novel AI-based algorithm for automated cervical sagittal balance analysis validated on pre- and postoperative X-rays of 129 patients” submitted to this year’s International Meeting on Advanced Spine Techniques (IMAST) was accepted and is nominated for the Whitecloud Award. The work presents an AI-based algorithm for the automated assessment of cervical sagittal balance parameters, demonstrating excellent reliability and accuracy.

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Abstract presenting algorithm for knee wear determination nominated for Wilhelm Roux Award

The abstract “Accurate Wear Determination in Clinical Radiographs after Total Knee Arthroplasty using 2D-3D Registration and Artificial Intelligence: An In Vivo Validation” submitted to this year’s German Congress of Orthopedic and Trauma Surgery (DKOU) was accepted and nominated for the Wilhelm Roux Award. The work presents an automated algorithm for the accurate and precise measurement of wear in total knee arthroplasty using clinical AP radiographs.

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