Imaging Informatics

Who wouldn’t want greater consistency in radiology reports’ substance, style and actionability to referring clinicians? And yet a substantial number of radiologists have intently avoided, quietly thwarted or tacitly rejected structured reporting. They can only hold out so long. 

Using computer-aided detection (CAD) software powered by artificial intelligence leads to fewer false-positive mammograms, according to new findings published by the Journal of Digital Imaging. Significant cost savings could also be realized by making such a switch.

Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.

Researchers have found that standardized radiology reports and clinician education can reduce unnecessary knee MRI utilization for patients with severe osteoarthritis (OA).

As if healthcare providers didn’t already have enough cybersecurity threats to worry about, researchers have now found that malware can create fake findings in imaging results and deceive radiologists.

Following optimized CT protocols during wrist examinations can lead to significant reductions in radiation dose, according to a case study published in the Journal of the American College of Radiology.

Treadmill desks have gained popularity in recent years, but how would utilizing one impact a radiologist’s ability to interpret medical imaging results?

Centering a radiology department’s workflow around the electronic health record (EHR) can improve efficiency and make radiologists happy, according to a new study published in Academic Radiology.

Follow-up imaging adherence rates vary based on a number of factors, according to new research published in the American Journal of Roentgenology. The authors noted that closely monitoring such patterns can help providers engage patients and minimize risk.

Researchers at Harvard and several institutions in Italy have shown that clinicians managing neuromuscular conditions receive clinically relevant information more consistently from structured radiology reports than from reports rendered in free text. And the gains are greatest when the reporting radiologist is not deeply experienced.

CT scans and mammograms can reveal valuable information about a patient’s heart health, even if the exam was not specifically ordered for that purpose.

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.