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.

Christoph Wald, MD, vice chair of the ACR Board, explains the new ACR Assess-AI national data registry tracks performance of clinical AI algorithms.

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.

technologist MRI rad tech radiologic radiology

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 recons reduce contrast and radiation doses in aortic CTA

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.

Ultrasound shear-wave elastography predict fetal growth abnormalities earlier than routine obstetric exams.

Shear-wave elastography predicts fetal growth issues earlier than standard of care

In recent years, shear-wave elastography has emerged as an imaging option that can provide greater detail into tissue health. Experts recently found that it is especially beneficial for fetal exams.

AI model slashes cerebral aneurysm interpretation times

Similar tools could have great utility in enhancing clinical workflows and improving the diagnosis of cerebral aneurysms, which can be deadly if ruptured.

Providing chatbots with guideline context significantly improves their imaging recs

With proper prompts and appropriate context, chatbots can play a valuable role in imaging referrals.

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