Jeff Hall

Offering built-in safety features and independent verification of magnetic resonance imaging (MRI) compatibility with cardiac devices such as pacemakers or implantable cardioverter defibrillator systems, the MRI Care Pathway app may enhance the efficiency of radiology workflows for MRI scans in patients with these devices.

The artificial intelligence (AI) powered Auto B-line Counter, which reportedly produces a B-line count from a six-second ultrasound clip, may facilitate more expedient and consistent assessment of abnormal lung function.

Emerging research shows the adjunctive use of automated breast ultrasound with mammography has similar sensitivity for breast cancer detection as adjunctive handheld ultrasound but may offer reduced false-positive rates in women with dense breasts.

A new study shows that active surveillance and watchful waiting are being utilized in nearly 60 percent of patients with low-risk prostate cancer in the United States.

Researchers found that higher shift volumes, longer imaging interpretation times and weekend work were significantly associated with increased errors in neuroradiology.

Consensus recommendations from the Society for Cardiovascular Magnetic Resonance provide pertinent insights on the unique abilities of cardiac magnetic resonance imaging (MRI) to provide optimal characterization of myocardial tissue and diagnosis of COVID-19-related myocardial injuries.

A retrospective review of insurance claim data from over one million people eligible for lung cancer screening with low-dose computed tomography (LDCT) found that less than five percent were screened.

Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

In the study of 119 patients who had endovascular treatment for intracranial atherosclerotic stenosis, multivariable analysis revealed that post-op ischemic brain lesions on diffusion-weighted magnetic resonance imaging (MRI) were 3.6 times more likely to occur in patients who smoke cigarettes and 2.9 times more likely in patients who had multiple operative attempts.

In a recent study of a deep learning software in patients with suspected prostate cancer, researchers noted no difference in the detection of clinically significant prostate cancer nor PI-RADS scoring consistency.

In a study of over 1,000 patients who had surgery for invasive lung adenocarcinoma, researchers found that solid adenocarcinoma on pre-op CT imaging was associated with more than double the risks of recurrence and brain metastasis in patients with clinical stage I disease in comparison to ground-glass opacity (GGO) adenocarcinoma.

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.

In recent video interviews, Tessa Cook, MD, PhD, Nina Kottler, MD, MS, and Sonia Gupta, MD shared their insights and perspective on potential benefits and drawbacks of ChatGPT in radiology.

Viz AAA is reportedly the first artificial intelligence (AI)-enabled algorithm to garner FDA 510(k) clearance for the detection of abdominal aortic aneurysm.

Through artificial intelligence (AI) assessment of non-contrast computed tomography (CT) scans, the Brainomix 360 e-ASPECTS software provides an automated ASPECTS score and heatmap to enhance stroke imaging.

In a study of 128 patients who had breast magnetic resonance imaging (MRI) exams after COVID-19 booster vaccination, researchers noted that nearly 19 percent of the cohort had equal to or greater than 0.2 cm of increased lymph node cortical thickness.

Emerging research suggests that cardiac MRI findings of late gadolinium enhancement, native T1 values and extracellular volume fraction may predict sudden cardiac death-related events in patients with nonischemic dilated cardiomyopathy.

In a review of 555 neuroimaging-based artificial intelligence (AI) models for the diagnosis of psychiatric disorders, researchers found that nearly 72 percent of the AI models had an inadequate sample size and over 99 percent were insufficient at handling data complexity.

In a recent video interview, Amy Patel, M.D., shared her perspective on forthcoming national beast density notification in mammography reporting, emphasized the importance of educating primary care providers on breast density risks, and discussed the ongoing need for coverage of supplemental options for breast cancer screening.

The expanded indication could facilitate improved access to imaging for patients with metastatic prostate cancer who are candidates for radioligand treatment.

In a recent video interview, Emily Conant, M.D., discussed findings from a large multicenter study highlighting the benefits of digital breast tomosynthesis (DBT) in breast cancer screening.

The artificial intelligence (AI)-enabled software, which has a documented 91 percent sensitivity rate for detecting pediatric fractures, is reportedly the first AI fracture detection modality to receive FDA 510(k) clearance for use in the pediatric population.

Noting that computed tomography (CT) scans are obtained for more than 30 million emergency department (ED) patients annually and that 31.3 percent of ED CT scans reveal incidental findings, representatives from the American College of Radiology (ACR) and the American College of Emergency Physicians (ACEP) recently collaborated on best practice recommendations for addressing incidental imaging findings in EDs.

Newly published retrospective research involving a large database of premenopausal women in Korea showed that women were 64 percent more likely to have dense breasts if their mother and a sister had breast cancer.

In a recent video interview, Wendie Berg, M.D., Ph.D., discussed the newly issued final rule from the Food and Drug Administration (FDA) requiring a national standard for breast density notification (starting on September 10, 2024) as well as its potential impact in mammography reporting and facilitating supplemental screening for patients with dense breasts.

As part of updates to the Mammography Quality Standards Act (MQSA) of 1992, the Food and Drug Administration (FDA) has issued a final rule that requires the inclusion of breast density assessment in mammography reports starting on September 10, 2024.

Emerging research from a multicenter study found that COVID-19 vaccination was affiliated with a lower likelihood of high computed tomography (CT) severity scores and typical CT findings for COVID-19 in comparison to unvaccinated patients.

In a study of over 1,500 patients, researchers found that an emerging artificial intelligence (AI) modality had significantly higher sensitivity rates for abnormal posteroanterior chest radiographs and critical finding radiographs than radiology reports.

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.

In a cum laude awarded presentation at the European Congress of Radiology (ECR), researchers discussed misconceptions and pertinent principles for magnetic resonance imaging (MRI) of patients with rectal cancer, ranging from the diagnosis of mucinous tumors to the impact of mesorectal fascia status for rectal cancer recurrence.