Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Southern Calif. imaging group taps Sectra for regional IT systems

Valley Radiology Consultants has installed Sectra’s PACS, RIS and Breast Imaging PACS in six of its San Diego County locations.

Transition zone prostate cancer detection not improved by multiparametric MR techniques

Multiparametric MRI does not improve transition zone (TZ) prostate cancer detection or localization accuracy compared with 3T T2-weighted imaging, according to a study published in the January issue of Radiology.

CRC screening estimates miss the mark by excluding virtual colonoscopy

Including virtual colonoscopy as a Healthcare Effectiveness Data and Information Set (HEDIS)-compliant colorectal cancer (CRC) screening test could raise overall screening rates, according to a study published in the January issue of the Journal of the American College of Radiology.

Game on: XBOX camera offers touchless method of browsing images

A specialized camera system that can recognize hand gestures could soon allow surgeons to browse and display medical images in the operating room without having to physically touch a keyboard or mouse.

Doing the math on quantitative imaging

Quantitative imaging promises much, including greater precision and replicability with reduced variability. However, as with most phenomenal advances, caution is merited as new challenges lurk below the surface.

Rads tend to agree on PET liver measurements

Two readers had excellent interreader agreement on liver standardized uptake value normalized to lean body mass on PET exams, with similar results at three locations in the right lobe of the liver, according to a study published online Jan. 7 in Radiology.

Cardiac MR analysis packages prone to intersoftware variability

Semiquantitative cardiac MR perfusion analysis software provides intra- and inter-observer repeatability and reproducibility, but variability among software programs was significant, according to a study published online Dec. 13, 2012, in Radiology. The findings led the authors to caution that data produced with different software packages are not interchangeable.

iPad TB diagnosis stacks up well vs. LCD monitor

There is no detectable effect of using an iPad rather than a traditional LCD monitor for the diagnosis of tuberculosis (TB), according to a study published in the January issue of the Journal of the American College of Radiology.

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The biggest obstacles facing radiology business managers in 2025

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New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

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Cardiology practices pay $17.7M to settle fraud allegations brought on by whistleblowers

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.