EyeQ is a deep learning-based artificial intelligence (AI) tool for automating the calculation of mSASSS to facilitate the assessment of radiographic progression in AS, reduce the burden on specialists, and enhance clinical efficiency.
Rheumatology is a branch of science where imaging is frequently used in diagnosis and follow-up processes. The labeling and data management platform developed for EyeQ will enable the development of new tools that facilitate and accelerate processes in rheumatology diseases where image-based diagnosis and follow-up are performed.
Ankylosing spondylitis (AS) is a chronic inflammatory joint disease characterized by progressive and irreversible functional impairment. Radiographic progression in AS is commonly quantified using the modified Stoke nAnkylosing Spondylitis Spine Score (mSASSS), which evaluates 24 spinal levels based on radiographic changes in the cervical and lumbar spine. This process requires specialized expertise and involves a time-intensive manual assessment, limiting its routine clinical application. EyeQ offers the opportunity to accomplish this challenging process with few resources and in a short time.
Our experiences in the development process of EyeQ inspired the smart imaging tools we are currently developing and will continue to develop. We have experienced, learned, taught, and will continue to develop
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