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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X-ray vision: Diagnostic accuracy, visual search patterns and 'expert' image interpretation

Diagnostic performance in radiological interpretation increases with experience, though expert-level visual search patterns appear to develop before expert diagnostic accuracy, according to results of a new study published in the journal Radiology.

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Man gets head examined, prints 3D model from the scans

After going in for neuro MR imaging, a self-described “maker” in Richmond, Va., has made a model of his own brain—in neon pink, no less. 

Survey: Radiologists choose colonoscopy over CTC, but not because of cost

Radiologists prefer colonoscopy over CT colonography (CTC) for colorectal cancer screening due to its effectiveness at detection and immediate biopsy capabilities, according to results of a study published in the February issue of the American Journal of Roentgenology.

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Radiology and 3D printing—‘what a lovely couple they make’

A trade website is keeping an eye on the blossoming “romance” between 3D printing and radiology.

Science points to better MRI through ‘smart clothes’ for patients

Scientists from ITMO University in St. Petersburg, Russia, collaborating with colleagues in Australia and the Netherlands, have shown that metamaterials—synthetic composites with particular electromagnetic properties—can improve the quality of “ordinary” MR imaging while cutting scan time.

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Scanner model matters when evaluating reconstruction, dose reduction technique

If iterative reconstruction techniques are to help reduce CT radiation dose while improving visualization, imagers must take into account not only the reconstruction technique they choose but also the scanner model they use. 

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Prototype software successfully ‘reads’ spinal CT for fracture diagnosis

A research team has designed and validated a software algorithm that uses quantitative analysis of CT images to automatically detect and precisely localize vertebral body fractures in the thoracic and lumbar spine.

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Poised for another big year

Happy New Year and welcome to 2016, which, if recent history is any indication, is sure to bring major developments to the world of advanced visualization.

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Around the web

Radiology Business
Shift toward imaging outside the hospital could save billions

Harvard’s David A. Rosman, MD, MBA, explains how moving imaging outside of hospitals could save billions of dollars for U.S. healthcare.

Cardiovascular Business
‘A significant milestone’: First US patients receive doses of new PET radiotracer for CAD

Back in September, the FDA approved GE HealthCare’s new PET radiotracer, flurpiridaz F-18, for patients with known or suspected CAD. It is seen by many in the industry as a major step forward in patient care. 

Cardiovascular Business
Continuation of 99mTc-PYP shortage prompts need for alternative cardiac amyloidosis imaging

After three years of intermittent shortages of nuclear imaging tracer technetium-99m pyrophosphate, there are no signs of the shortage abating.