Publications by authors named "F Burn"
Article Synopsis
- - This study investigates the effectiveness of an artificial intelligence (AI) algorithm in detecting incidental pulmonary embolisms (iPEs) in chest CT scans, comparing results before and after the AI implementation.
- - It analyzed data from 5,298 CT scans, revealing that prior to AI use, radiologists missed around 50% of iPE cases, with the AI achieving high sensitivity (95%) and specificity (99%) in identifying suspicious iPEs.
- - The study also aimed to assess the anatomical distribution of missed iPE cases and evaluate mortality rates in patients within 90 days following the different detection methods.
Background: No universal protocol exists for treating cerebral abscesses in Down syndrome. An illustrative case supplemented with a systematic literature review on brain abscesses in Down syndrome is presented, comprising a total of 16 cases. Preoperative infectious disease workups, cardiac examinations including echocardiography, as well as reported surgical and antibiotic treatments were correlated in the reported cohorts.
View Article and Find Full Text PDFIn this work, several machine learning (ML) algorithms, both classical ML and modern deep learning, were investigated for their ability to improve the performance of a pipeline for the segmentation and classification of prostate lesions using MRI data. The algorithms were used to perform a binary classification of benign and malignant tissue visible in MRI sequences. The model choices include support vector machines (SVMs), random decision forests (RDFs), and multi-layer perceptrons (MLPs), along with radiomic features that are reduced by applying PCA or mRMR feature selection.
View Article and Find Full Text PDFBackground: After breast conserving surgery (BCS), surgical clips indicate the tumor bed and, thereby, the most probable area for tumor relapse. The aim of this study was to investigate whether a U-Net-based deep convolutional neural network (dCNN) may be used to detect surgical clips in follow-up mammograms after BCS.
Methods: 884 mammograms and 517 tomosynthetic images depicting surgical clips and calcifications were manually segmented and classified.
Background: Measurement of skeletal muscle index (SMI) in computed tomography has been suggested to improve the objective assessment of muscle mass. While most studies have focused on lumbar vertebrae, we examine the association of SMI at the thoracic level with nutritional and clinical outcomes and response to nutritional intervention.
Methods: We conducted a secondary analysis of EFFORT, a Swiss-wide, multicenter, randomized trial.