Initial breast cancer risk scoring with adjunctive AI assessment of screening mammograms increased by approximately 80 percent in a subsequent screening round for women with breast cancer, according to research findings presented at the European Congress of Radiology.
While large language models (LLMs) may offer the promise of workflow efficiencies and streamlined documentation in radiology, LLMs may also increase exposure to cybersecurity risks, according to a presentation at the European Congress of Radiology (ECR).
In addition to significantly reduced interpretation time, researchers found that adjunctive AI with ultrasound resulted in accuracy improvements of greater than 7 percent for nodule echogenicity and 16 percent for nodule margin assessments.
Combining an 85 cm bore, high resolution and accelerated image reconstruction, the Rembra CT platform can reportedly handle up to 270 CT exams a day.
The use of ultra-high-resolution photon-counting CT in the evaluation of stable chest pain may significantly reduce follow-up tests and invasive coronary angiography (ICA) procedures, possibly resulting in millions in health-care cost savings, according to a cost-effectiveness analysis presented recently at the European Congress of Radiology.
A deep learning-enhanced ultra-fast bpMRI protocol offered similar sensitivity for csPCa as mpMRI with an 80 percent reduction in scan time, according to research findings presented at the European Congress of Radiology (ECR) conference.
In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
In a recent interview, Emily Conant, M.D., discussed findings from two studies presented at the European Congress of Radiology (ECR) conference that showed the potential impact of image-based AI risk models and breast arterial calcification detection in mammography screening.
The updated software reportedly enables a threefold improvement in MRI scan time and enhanced image sharpness.
While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.
Based on findings from a multicenter study of over 1,600 patients, researchers at the European Congress of Radiology suggest the inclusion of autonomous artificial intelligence (AI) triage could facilitate up to a 75 percent reduction in prostate MRI reading workload.
Noting that technique issues, patient positioning miscues and atypical features can all contribute to faulty interpretation with contrast-enhanced mammography (CEM), researchers at the European Congress of Radiology shared their insights on navigating artifacts and limitations with CEM.
Designed for full-body imaging, the new modality reportedly offers a lightweight portable design, AI-powered tools and enhanced high-resolution images.
Sixty-five percent of patients with newly diagnosed high-risk prostate cancer may have extraprostatic extension on MRI, and PSMA PET/CT findings suggest those with Gleason scores of eight or higher have more than double the risk of metastasis, according to a new study presented at the European Congress of Radiology (ECR).
Emphasizing upgraded angio suite capabilities as well as improved 2D and 3D imaging, Philips will unveil the Azurion Neuro Biplane System at the European Congress of Radiology.
In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.
Comparing year-long findings with and without adjunctive artificial intelligence (AI) at a breast cancer screening program in Spain, researchers found the combination of digital breast tomosynthesis and AI had a 92.5 percent accuracy for diagnosing cancer in patients with elevated risk.
The new launches include the 80/160-slice computed tomography (CT) scanner Aquilion Serve, which allows simultaneous previews of axial, lateral and AP views, and Celex, a multipurpose X-ray system that offers automated and customizable features to help maximize workflow efficiencies.
Lunit’s INSIGHT CXR software will be available on Philips’ X-ray solutions.
Medical devices are showing up regularly in abdominal X-rays – knowing what to look for and when something might be wrong can help improve diagnosis.
With both your adult and pediatric patients, be sure you are doing the best job at explaining both the benefits and risks of imaging studies.
An automated approach can be useful with patients who have indeterminate transthoracic echocardiograms.
Konica Minolta releases new system during annual meeting.
Experts at ECR 2021 offer their top three tips for a variety of breast imaging techniques.
Two new permanent MRI systems are designed to streamline workflow and truncate scan time by roughly one-third.
Combining machine learning and deep learning with clinical data and chest X-rays can point to either mild or severe disease.
For women with dense breasts, automated breast ultrasound offers advantages over supplemental screening with hand-held ultrasound.
Product offerings will showcase new glass-free detector and digital radiography solutions.
From virus behavior, to patient impact, to imaging implementation – what we know so far.
Artificial intelligence tools have many drawbacks and face many barriers to clinical implementation, and radiologists must pay close attention to how – and what kind of – data is used in models.
