A. Elastography shows mostly blue pattern. Image credit: ARRS.
That’s according to an award-winning scientific online poster presented this week during the American Roentgen Ray Society’s annual meeting being held in Honolulu, Hawaii.
Photoacoustic image of a lymph node (top left), super-resolved vascular image (top right), dual photoacoustic super-resolution ultrasound image (bottom). Image credit: The Grainger College of Engineering at the University of Illinois Urbana-Champaign.
The hope is that the technique could lead to earlier detection of diseases by simultaneously identifying structural and functional abnormalities that standard ultrasound imaging methods alone cannot.
Despite being widely praised by many of its users, ChatGPT recently left much to be desired by experts who compared the chatbot’s medical writing alongside that of seasoned professionals.
Chest radiographs of a 65-year-old man with squamous cell carcinoma who had formerly smoked about 15 pack-years. Courtesy of Clinical Imaging.
Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.
New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.
The vetted group consists of more than 100 organizations and their respective scientists, clinicians and engineers who provide guidance and expertise when requested.
Energy consumption reduction tactics could decrease greenhouse gas emissions owed to radiology while also saving departments tens of thousands of dollars every year.
The AUC includes a total of 32 clinical scenarios that have been grouped into four categories of cancer: breast, skin, cancer of other sites and lymphedema.
