conclusions in this study radiology students believed digital radiology can enhance the production efficiency and quality of the images. they also had the right information about digital radiology. however, it is recommended in order to prevent the emergence of problems caused by change of radiology equipment and efficiency of the professional in-service training the theoretical training needs ...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

Abstract Purpose To delineate the uncommon causes of pregnancy related haemorrhage and discuss various endovascular, direct percutaneous interventional radiology techniques that can be used for successful management. Materials methods Forty-four females with haemorrhage, who were referred uterine artery embolization, between January 2013 May 2020, retrospectively analyzed in this hospital-based...

Abstract Polymorphous low grade neuroepithelial tumor of the young (PLNTY) was first described in 2017 pathology literature based on unique histologic and molecular characteristics. Most patients original article presented with seizures linked to a temporal lobe lesion. We report pediatric patient who found have lesion which consistent PLNTY biopsy. will review radiology this case quick charact...

a Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, and Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China b Shanghai Institute of Traumatology and Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Ruijin Hospital, Shanghai Ji...

Radiology reports are an important means of communication between radiologists and other physicians. These reports express a radiologist’s interpretation of a medical imaging examination and are critical in establishing a diagnosis and formulating a treatment plan. In this paper, we propose a Bidirectional convolutional neural network (Bi-CNN) model for the interpretation and classification of ...

In a recent article in JAMA, Saurabh Jha and Eric Topol discuss the potential combined impact of digital images and artificial intelligence (AI) on the future of pathology and radiology [1]. The premise of the article is that these specialties are simultaneously inundated with information and amenable to automated interpretation. Automated interpretations are envisioned as an augmentation to th...

We apply hierarchical supervised learning technology to the problem of assigning codes from the wellknown ACR Index (a ‘‘double-hierarchy’’ classification scheme from the American College of Radiology) to radiology reports. This task is actually two classification tasks in one: the former uses a first hierarchy of codes describing anatomic locations, and the latter uses a second hierarchy of co...