Publications by authors named "Matteo A Orlandi"
The diagnosis, evaluation, and treatment planning of pancreatic pathologies usually require the combined use of different imaging modalities, mainly, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). Artificial intelligence (AI) has the potential to transform the clinical practice of medical imaging and has been applied to various radiological techniques for different purposes, such as segmentation, lesion detection, characterization, risk stratification, or prediction of response to treatments. The aim of the present narrative review is to assess the available literature on the role of AI applied to pancreatic imaging.
View Article and Find Full Text PDFTo describe radiographic key patterns on Chest X-ray (CXR) in patients with SARS-CoV-2 infection, assessing the prevalence of radiographic signs of interstitial pneumonia. To evaluate pattern variation between a baseline and a follow-up CXR. 1117 patients tested positive for SARS-CoV-2 infection were retrospectively enrolled from four centers in Lombardy region.
View Article and Find Full Text PDFArticle Synopsis
- The study examines the impact of low-cost 3D printing methods on clinical accuracy, focusing on open-source software and consumer-grade printers.
- Test objects were scanned using advanced CT technology and converted to 3D models with free software before being printed.
- The findings indicate that the 3D printed copies are highly accurate, with only a 0.23 mm mean absolute difference from the original objects.