RPS 1405 - Artificial intelligence in musculoskeletal imaging

Development and validation of deep learning model for screening low bone mineral density using chest radiographs: A multicentre, multinational study

Evaluating the Impact of Artificial Intelligence on Fracture Detection: A Multinational Randomized Crossover Study on diagnostic thinking efficacy

Post implementation validation - False Positives and Negatives in AI Fracture Detection in Clinical Workflow: A Deep Dive

Assessing the Generalisability of a Paediatric Wrist Fracture Detection AI Model Using a Novel Dataset

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

Multi-Center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-Learning on MRI

Radiopsy, quantitative wb-mri adc and fat fraction sequences for discrimination of smoldering multiple myeloma and multiple myeloma: a prospective observational study

Feasibility of generating sagittal radiographs from coronal images using deep learning in adolescent idiopathic scoliosis