Pierre‐Alexandre Poletti

Clinical feasibility and image quality assessment of deep learning-based virtual contrast enhancement from photon-counting computed tomography

Objectives: The purpose of this study was to evaluate image quality and diagnostic performance of deep learning-based virtual contrast-enhanced (VCE) images generated from photon-counting CT (PCCT) datasets. Material and Methods: Forty consecutive patients who underwent contrast-...

Diagnostic Accuracy of Artificial Intelligence Versus Musculoskeletal Radiologists for Foot and Ankle Fracture Detection on Radiographs

Background/Objectives: To evaluate the diagnostic accuracy of a standalone artificial intelligence fracture detection software on foot and ankle radiographs, compared with board-certified musculoskeletal radiologists, with emphasis on midfoot injuries. Materials and Methods: This...