In a study recently presented at the American College of Cardiology (ACC) conference, researchers found that novice use of AI-guided cardiac ultrasound after an AI-enabled electrocardiogram increased the positive predictive value for reduced left ventricular ejection fraction (LVEF) or aortic valve stenosis by 33 percent.
Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
For patients with no-option chronic limb-threatening ischemia (CLTI), transcatheter arterialization provided over a 25 percent higher amputation-free survival rate over standard medical management at one year, according to research presented at the Society of Interventional Radiology (SIR) Annual Scientific Meeting.
Artificial intelligence (AI)-powered measurement capabilities provide key features with the Compact Ultrasound 5500CV device, which was unveiled at the American College of Cardiology (ACC) conference.
The positron emission tomography myocardial perfusion imaging (PET MPI) agent, which offers a significantly higher half-life than other cardiac PET agents, was recently granted pass-through payment status by CMS that will go into effect on April 1, 2025.
In addition to a variety of tools to promote radiology workflow efficiencies, the integration of the Gravity AI tools into the PowerServer RIS platform may reduce time-consuming prior authorizations to minutes for completion.
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.
Offering four key software-as-a-service features, the cloud-based enterprise imaging suite reportedly offers enhanced security and storage and facilitates streamlined radiology workflows.
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.
Offering an array of AI-powered automation and image optimization, the new Elevate software is geared to maximizing workflow efficiencies for the EPIQ Elite and Affiniti ultrasound systems.
18F-DCFPyL facilitated detection of recurrent prostate cancer in 51 percent of patients with PSA levels ranging between 0.2 to 0.5 ng/ml, according to new research presented at the American Society of Clinical Oncology Genitourinary Cancers (ASCO-GU) Symposium.
In a video interview from the International Stroke Conference (ISC), Jeremy Heit, M.D., Ph.D., discussed new research revealing over 90 percent sensitivity and specificity rates for AI detection of subdural hematomas on non-contrast-enhanced head CTs.
The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
Designed for advanced OB-GYN applications, the Samsung Z20 ultrasound platform reportedly provides a combination of artificial intelligence (AI) tools and enhanced ergonomics.
In the third part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., discusses the potential of image-based risk assessment artificial intelligence (AI) algorithms in bolstering adherence to screening protocols for women at high risk for breast cancer.
Catch up on emerging research from the recent 2024 Radiological Society of North America (RSNA) conference.
Catch up on video interviews from the recent 2024 Radiological Society of North America (RSNA) conference.
In the second part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., emphasizes patience and monitoring with the assessment of AI to ensure optimal use of the technology to help ease the strain of increasing breast imaging volume.
Catch up on the top radiology content of the past week.
In the first of a three-part interview from the recent RSNA conference, Mark Traill, M.D., discusses current challenges in breast radiology and the potential of AI to help mitigate some of these issues.
In a recent interview at the RSNA conference, Raj Chopra, MD shared his insights on the continued rise of cyberattacks, the impact of these attacks in radiology and keys to prevention and effectively responding to such events.
New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
In an interview at the RSNA conference, Sundus Lateef, MD, discussed the rise of silicosis and associated CT findings in a recent study of engineered stone countertop workers.
In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
Emerging research from the RSNA conference suggests that two-dimensional mammography would only detect 41 percent of detectable breast cancer.
In a recent interview, Sarah Friedewald, MD, discussed new study findings for an adjunctive AI software for digital breast tomosynthesis (DBT) that revealed nearly equivalent sensitivity and specificity rates for breast cancer across a diverse cohort.
In a multicenter study involving over 747,000 women who had mammography screening, those who paid for AI-enhanced screening had a 21 percent higher recall rate and a 15 percent higher positive predictive value (PPV) for breast cancer, according to research presented at the Radiological Society of North America (RSNA) conference.
