From Picture Archiving and Communication System to AI production: development of a preprocessing pipeline for musculoskeletal radiological images from real-world data sources results from the AI to Revolutionize the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
Exploring the use of biphasic quantitative thoracic computed tomography to evaluate halo-pelvic traction in managing severe adolescent idiopathic scoliosis
Zhou, J., Zhao, Z., Cai, Q., Zhong, M.
Quantitative Imaging in Medicine and Surgery, vol. 14, no. 12, pp. 8429-8442