Radiographics : a review publication of the Radiological Society of North America, Inc
Oct 1, 2021
Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and clinical decision support, with the goal of delivering precision medicine. The authors provide a ...
Radiographics : a review publication of the Radiological Society of North America, Inc
Oct 1, 2021
The classic prostate cancer (PCa) diagnostic pathway that is based on prostate-specific antigen (PSA) levels and the findings of digital rectal examination followed by systematic biopsy has shown multiple limitations. The use of multiparametric MRI (...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2021
Natural language processing (NLP) is the subset of artificial intelligence focused on the computer interpretation of human language. It is an invaluable tool in the analysis, aggregation, and simplification of free text. It has already demonstrated s...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2021
Deep learning is a class of machine learning methods that has been successful in computer vision. Unlike traditional machine learning methods that require hand-engineered feature extraction from input images, deep learning methods learn the image fea...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2021
Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indications. In addition to the immediate reason for scanning, each CT examination contains robust additional data on body composition that generally go unused ...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2018
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. ...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2017
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods produce a mapp...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2017
A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2016
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, ther...