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An Automated Segmentation Algorithm To identify Bones of The Hand and Wrist for Improved Structural Damage Detection

Author

University of Bath

Keywords

Machine Learning, Computer Vision, Psoriatic Arthritis, Object Detection, Probabilistic

    Psoriatic arthritis is a condition linked to psoriasis that can damage bones and joints, often in the hands and wrists. Doctors use X-rays to assess this damage, but scoring the images is time-consuming and requires specialist training. This study investigated a first step towards using artificial intelligence to help with this process. The model automatically found and outlined bones in hand and wrist X-rays, while also highlighting areas where it was less certain. The model was trained using expert-labelled images and performed close to human level, showing promise as an early step towards faster, more consistent and easier-to-interpret assessment of damage.