INTRODUCTION: Pupillometry, the measurement of eye pupil diameter, is a well-established and objective modality correlated with cognitive workload. In this paper, we analyse the pupillary response of ultrasound imaging operators to assess their cogni...
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.
Liver international : official journal of the International Association for the Study of the Liver
Jun 16, 2021
BACKGROUND AND AIMS: While biopsy is the gold standard for liver fibrosis staging, it poses significant risks. Noninvasive assessment of liver fibrosis is a growing field. Recently, deep learning (DL) technology has revolutionized medical image analy...
The aim of this study was to explore the ergonomic challenges, the needs and reservations related to robot-assisted ultrasound for obstetric sonographers and thereby to provide information for the design of robotic solutions. A mixed-method design wa...
International journal of computer assisted radiology and surgery
Jun 10, 2021
PURPOSE: Respiratory motion of thoracic organs poses a severe challenge for the administration of image-guided radiotherapy treatments. Providing online and up-to-date volumetric information during free breathing can improve target tracking, ultimate...
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To ...
INTRODUCTION: Caudal epidural injections (CEIs) are widely used in the treatment of lumbar spinal stenosis (LSS). Imaging modalities, such as fluoroscopy and ultrasonography, are frequently employed to confirm proper needle placement and to prevent p...
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