The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.

Leveraging artificial intelligence, the Rho software assessment of X-rays may allow earlier detection of bone loss.

Patients with Medicaid or means-tested insurance were over 27 percent more likely to miss mammography appointments, and only 65 percent of women with three of more adverse social determinants of health had a mammography exam in a two-year period covering 2020 and 2021, according to new research and a report from the CDC.

Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.

Review the case and test your knowledge to make the correct diagnosis.

Can consistent timeliness, visual effort and engaging attitude give a radiologist with so-so skills a discernible advantage?

Strain imaging analysis is one of the automated parameters included in the newly FDA-cleared Us2.v2 software for adjunctive review of echocardiographic images.

In a recent review, researchers examined the pros and cons of specialized scoring systems for prostate MRI, including the PI-QUAL score, PRECISE recommendations, PI-RR scoring and PI-FAB assessments.

Catch up on the top radiology content of the past week.

Utilizing PET imaging to assess pathologic complete response to the combination of trastuzumab and pertuzumab for patients with HER2-positive breast cancer, researchers noted a 94.8 percent rate of invasive disease-free survival at three years.

In an attempt to navigate the imbalance between rising imaging volume and a shortage of radiologists, researchers proposed a variety of measures that may provide additional resources, bolster productivity, and help mitigate burnout.

In addition to full-field digital mammography and titanium contrast-enhanced mammography capabilities, the Mammomat B.brilliant system also offers ergonomic, workflow and patient comfort benefits.

An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.

The addition of Caption AI to the handheld ultrasound device Vscan Air SL may facilitate optimal imaging for point-of-care cardiac evaluation.

An MRI-based machine learning model demonstrated a comparable background parenchymal enhancement (BPE) hazard ratio to that of manual BPE assessment for breast cancer, according to a study of over 4,500 women with dense breasts.