Quality

The focus of quality improvement in healthcare is to bolster performance and processes related to diagnostic and therapeutic procedures. Leaders in this space also ensure the proper selection of imaging exams and procedures, and monitor the safety of services, among other duties. Reimbursement programs such as the Merit-based Incentive Payment System (MIPS) utilize financial incentives to improve quality. This also includes setting and maintaining care quality initiatives, such as the requirements set by the Joint Commission.

ACR Assess-AI national data registry tracks performance of clinical algorithms
Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.
AI prevents mammography positioning errors before exposure
And it can spot positioning errors in less than two seconds, new research suggests.
Deep learning-based reconstruction nearly halves spinal MRI acquisition times
The accelerated exam does not come at the expense of image quality, according to new work published in Academic Radiology.
Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams
A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality.
Radiologists divided on which CT quality measures are most important
The unique preferences of different readers highlight a need for more quantitative measures of quality specific to subspecialties.

Age and workload affect reader performance for screening mammograms

Age, specialty training and reading volume give readers an edge over their peers when it comes to screening mammogram interpretations.

Cardiologists use video-based AI model to ID coronary artery disease

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

Do non-physician providers request contrast-enhanced imaging more often?

The growing presence of non-physician practitioners has created an increased demand for contrast-enhanced imaging, according to new data.

Simulations help 'accelerate the TEE learning curve' for cardiology trainees

Simulation-based training can help cardiology fellows improve their TTE abilities, even when instructors or equipment are in short supply.

Radiologist- and technologist-related errors to blame for most musculoskeletal MRI recalls

These errors are frequently due to a breakdown in communication between radiologists, technologists and referring providers, either before or during exams, according to a new analysis of more nearly 63,000 musculoskeletal MRI exams.

Woman dies of lung cancer after radiologist fails to recommend follow-up for ‘large’ abnormality

According to reports, the respiratory physician who treated the patient following her lung cancer diagnosis described her death as “totally avoidable."

Can scatter correction software replace physical grids?

The clinical application of scatter correction software is limited by numerous factors, according to a new analysis.

Intermittent fluoro method reduces radiation dose during image-guided biopsy

And the method does not come at the expense of diagnostic yield, an uptick in adverse events or increased procedure times.

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Cardiovascular Business

GE HealthCare launches new cardiac CT scanner with advanced AI capabilities

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Cardiovascular Business

Bracco updates HeartSee coronary flow capacity software with new diagnostic features

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

Cardiovascular Business

Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.

Quality

ACR Assess-AI national data registry tracks performance of clinical algorithms

AI prevents mammography positioning errors before exposure

Deep learning-based reconstruction nearly halves spinal MRI acquisition times

Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams

Radiologists divided on which CT quality measures are most important

Around the web