Applying an apparent diffusion coefficient (ADC) cutoff based on MRI with diffusion-weighted imaging may improve breast lesion…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
-
Study explores PPVs of LI-RADS major feature combinations
Most major feature combinations in the same CT/MRI LI-RADS categories have similar positive predictive values for liver cancer…
-
Co-development, evaluation, and dissemination of a lung cancer screening digital outreach intervention: A multiphase randomized clinical trial
Individuals from low socioeconomic status (SES) communities experience worse lung cancer outcomes and multilevel barriers to lung cancer screening (LCS). Digital interventions may bridge LCS barriers. This study employed a three-phase design to rigorously develop, evaluate, and disseminate a digital outreach intervention to promote LCS among individuals from low SES communities.
-
RadGPT: A system based on a large language model that generates sets of patient-centered materials to explain radiology report information
The Cures Act Final Rule requires that patients have real-time access to their radiology reports, which contain technical language. Our objective to was to use a novel system called RadGPT, which integrates concept extraction and a large language model (LLM), to help patients understand their radiology reports.
-
RadNet Acquires See-Mode Technologies for AI-Powered Ultrasound Diagnostics
tim.hodson
Mon, 06/09/2025 – 16:44
June 4, 2025 — RadNet, Inc., a provider of high-quality, cost-effective diagnostic imaging services and digital health solutions through its wholly-owned subsidiary DeepHealth, recently announced it has completed the acquisition of See-Mode Technologies, a global innovator in AI for ultrasound imaging. See-Mode’s initial applications to detect and characterize thyroid nodules and breast lesions in ultrasound imaging improve diagnostic accuracy and…
-
New Study: AI-Powered Mammography Yields Major Gains in Cancer Detection, Diagnostic Accuracy
tim.hodson
Mon, 06/09/2025 – 15:07
June 9, 2025 — A new independent, peer-reviewed study published in the journal Clinical Breast Cancer reinforces the impact of iCAD’s ProFound AI in clinical breast imaging, showing meaningful improvements in detection, diagnostic accuracy, and workflow efficiency for radiologists.
iCAD has developed ProFound AI to support radiologists with deep-learning tools that enhance the interpretation of 3D mammography, also known as digital breast tomosynt… -
Burnout in Radiology: Key Risk Factors and Promising Solutions
Recognizing the daunting combination of increasing imaging volume and workforce shortages, these authors discuss key risk factors contributing to burnout and moral injury in radiology, and potential solutions to help preserve well-being among radiologists.
-
PET tracer for prostate cancer performs well in clinical trial
A new PET tracer for detecting prostate cancer performed well in a phase II/III clinical trial.
-
Two UK Cardiology Trials Struggle to Recruit Patients
Two major UK cardiology trials are falling behind recruitment targets, prompting changes to entry criteria and calls for greater gender diversity. Medscape News UK
-
No Politics in the Radiology Reading Room
Refraining from expressing one’s political viewpoints in the workplace needs to be reemphasized.