Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Providers w/ EHRs order more mammograms

Women who receive healthcare from providers equipped with an EHR may be more likely to be referred for a mammogram and other preventive health services, and the link may be stronger with more sophisticated EHR systems, according to a study published in the February issue of the Journal of the American Medical Informatics Association. 

Workflow & women’s imaging

Although diagnostic performance is absolutely essential in imaging tools, the workflow impact of new technologies also plays a critical role. A pair of studies in the February issue of the American Journal of Roentgenology hint at the issue as it relates to new women’s imaging tools.

Tomo on par with diagnostic mammo for recall workup

Digital breast tomosynthesis (DBT) provided sensitivity and specificity on par with diagnostic mammography for the evaluation of noncalcified findings recalled from screening mammography, suggesting tomosynthesis can replace the conventional diagnostic approach. The study was published in the February issue of the American Journal of Roentgenology.

CDS prototype for breast MR does not curb unnecessary biopsies

Diagnostic performance and false-positive biopsy recommendations did not improve among radiologists using a prototype clinical decision support (CDS) system designed for dynamic contrast-enhanced breast MRI studies, according to a study published in this month's American Journal of Roentgenology. 

Imaging informatics + genomics promise lung cancer treatment potential

An approach that combines digital imaging with genomic sequencing to match lung cancer patients with treatments could result in improved survival rates, according to researchers at Ohio State University, Columbus, and University of Kentucky, Lexington.

PCPs say no to rads giving results to patients

Most primary care physicians (PCPs) are satisfied with radiology reporting and recommendations, according to results of a survey published Feb. 1 in the Journal of American College of Radiology. However, the survey offered a few surprises, including a universal objection to radiologists delivering results to patients.

UVA taps M*Modal for speech understanding

The University of Virginia (UVA) Health System will deploy M*Modal Fluency Direct and M*Modal Catalyst for Quality to speech-enable its EHR systems.

Structured reporting success balances uniformity + individuality

For a department to successfully implement common structured reporting, it must overcome organizational challenges that require at least as much attention as the technical challenges, according to an article published online Jan. 17 in Radiology.

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