Jeff Hall

In a large study reviewing biennial mammography screening for women between the ages of 50 to 74, researchers estimated a 6.1 percent overdiagnosis rate for indolent pre-clinical cancer and a 9.3 percent overdiagnosis rate for progressive pre-clinical cancer in women who would have died from other causes prior to clinical diagnosis.

A recent multicenter study of BoneView AI noted a significant increase in sensitivity for fracture detection on X-rays and decreases in reading time for radiographs.

A new artificial intelligence tool reportedly overcomes resolution issues of standard magnetic resonance imaging (MRI) scans with 3D images of the shoulder bones and may eliminate pre-operative use of computed tomography (CT) for total shoulder arthroplasty procedures.

A recent study found that Viz ANEURYSM had a 94 percent accuracy rate of diagnosing subarachnoid hemorrhages on computed tomography angiography (CTA).

The ruling noted that the interim final rule for the legislation materially altered the independent dispute resolution (IDR) process of the No Surprises Act and cited a lack of sufficient “notice and comment,” rendering the changes as unlawful as per the Administrative Procedure Act (APA).

The newly approved NephroScan may have promise in facilitating the diagnosis and assessment of renal disorders.

Utilizing biomarkers from magnetic resonance imaging (MRI) exams, AMRA Medical’s BCP Scan reportedly provides precise measurements of muscle and fat.

When there are equivocal findings with digital breast tomosynthesis (DBT), spot compression views may significantly enhance specificity and accuracy, and could reduce additional workup in benign cases.

For premenopausal women with a family history of breast cancer, new research shows a 25 to 30 percent higher likelihood of mammographic breast density.

In a recent video interview, Nina Kottler, MD, discussed the promise of artificial intelligence (AI) for improving workflow efficiency for radiologists, keys to assessing AI vendors and change management principles for facilitating implementation of AI into one’s practice.

In a new study comparing the development of myocarditis among vaccinated patients to those with COVID-19-related illness and patients with other etiologies, researchers noted less severe abnormalities on magnetic resonance imaging (MRI) and no major adverse events in a short-term follow-up.

In a new national coverage determination, the Centers for Medicare and Medicaid Services (CMS) have lowered the starting thresholds for lung cancer screening from 55 to 50 years of age and from a 30-pack/year tobacco smoking history to 20 packs a year.

The new whole-body magnetic resonance imaging (MRI) platform reportedly offers enhanced image quality and increased patient comfort.

In addition to newly added advances with hemodynamic assessment and obstetric measurements, Lumify also offers a B-line quantification tool and AI-enhanced algorithms that may bolster ultrasound lung imaging in severe COVID-19 cases.

The artificial intelligence (AI)-based technology reportedly facilitates optimal contrast-to-noise ratios with medical imaging.

Emerging research suggests that mammograms should not be delayed for women who develop unilateral lymphadenopathy after receiving COVID-19 vaccines, and that follow-up imaging is unnecessary for patients who have no history of cancer or suspicious concurrent symptoms.

Researchers say the complementary use of artificial intelligence may significantly improve the accuracy of radiologists in diagnosing intracranial aneurysms.

In a recently published study involving hospitalized patients with COVID-19, researchers compared chest CT findings of vaccinated, partially vaccinated, and unvaccinated patients.

In an exclusive video interview with Diagnostic Imaging, Josh Cooper, vice president of congressional affairs for the American College of Radiology (ACR), and Thomas Hoffman, vice president of legal for the ACR, discuss the ACR’s lawsuit over the IDR process of the No Surprises Act and the potential impact of the law on reimbursement and patient access to care.

An emerging technology may help improve efficiency and outcomes of laparoscopic and robotic-assisted surgeries.

In a simulated clinical workflow, researchers found the use of an artificial intelligence model significantly decreased the number of exams that required interpretation by a radiologist.

As a potential complement to intraoperative X-rays, the imaging software may be beneficial for short-segment spine procedures performed in outpatient or ambulatory surgery centers.

Emerging technology could provide key advances in pre-op planning and intraoperative management in endovascular surgery.

The iBreastExam, a handheld device cleared by the FDA, reportedly enhances routine clinical breast examinations.

While digital breast tomosynthesis is reportedly more effective at detecting cancer, new research suggests a higher recall rate due to fatigue and less experience in interpreting the images.

New research suggests an emerging machine learning model that combines findings from advanced imaging with clinical data may improve risk stratification in people with coronary artery disease.

Code for quantitative CT tissue characterization goes into effect on July 1.

Researchers found the use of magnetic resonance spectroscopic imaging revealed pathologic evidence of multiple sclerosis that is not evident on T1 or T2-weighted MRI.

Expanded MRI labeling for Abbott’s Proclaim™ XR Spinal Cord Stimulation System may facilitate increased efficiency and quality of MRI scans.

Will this artificial intelligence technology improve diagnostic accuracy and reduce false positive biopsy orders?