RPS 110 - AI, radiomics and other technologies supporting MSK diagnostics

AI-Driven SuperResolution reconstruction for high-quality, fast MR imaging of the lumbar spine: enhanced image clarity for pathology detection

AI-based Detection of Postoperative Abnormalities Following Lumbar Fusion Surgery in Spine Radiographs

Post-operative X-rays radiomics-based machine learning to predict two-year clinical outcome in patients with lumbar spine arthrodesis

Prediction of the success of meniscal repair using artificial intelligence algorithm

AI based thoracolumbar and sacral spine fracture detection for computed tomography

Radiomics-Based Machine Learning Model for Detection Occult Rib Fracture of Initial Emergency Spectral CT

The new frontier of MRI: virtual dissection with 3DPDw sequence. A pilot study on ATiFL anatomy

MRI biomarker assessment of Duchenne muscular dystrophy disease progression: a 12-month longitudinal study

Hip Imaging: Radiation-free 3D models based on 3D MRI of the hip joint for children with Slipped capital femoral epiphysis

Could a single isotropic 3D sequence replace a multisequence knee MRI in the new era of deep learning reconstruction?

Assessment of proximal tibial fractures with 3D FRACTURE (fast field echo resembling a CT using restricted echo-spacing) MRI – Intraindividual comparison with computed tomography

qBone: a quantitative software for the semi-automated extraction of bone microarchitecture metrics in vivo using Photon-counting-detector CT and Artificial Intelligence