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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Australian exhibition showcases art of medical imaging

The Body Image exhibition, now showing at the University of New South Wales, features artwork exploring the human body by combining medical imaging and animation software.

Missing the mark? Mammography CAD rarely changes diagnostic decisions

An evaluation of the impact of computer-aided detection (CAD) systems on interpreting digital mammograms found that radiologists rarely changed their diagnostic decisions after adding CAD, according to results published in the October issue of the American Journal of Roentgenology.

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How advanced image display can aid early cancer detection

In normal practice, radiologists don’t get do-overs, which is why it’s imperative to get the diagnosis correct the first time. A recently published retrospective review of CT lung cancer screening images showed how cancers can be missed, and underscored the importance of advanced image processing techniques for early detection.

Retrospective review of CT lung screening signals need for advanced image processing

Lung cancers discovered on annual repeat screenings were often identified in the previous round of screening, which suggests the incorporation of advanced image-processing techniques and additional display methods could boost early detection, according to a study published online in American Journal of Roentgenology.

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What about CT colonography?

Last month, the Centers for Medicare & Medicaid Services proposed approving Medicare coverage of a stool DNA colorectal cancer screening test. The move had the American College of Radiology asking, “What about CT colonography?”

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ACR calls for Medicare coverage of virtual colonoscopy in wake of DNA test approval

In a letter to the Centers for Medicare & Medicaid Services, the American College of Radiology (ACR) called for the same coverage criteria to be applied to virtual colonoscopy, or CT colonography, that was used to approve Medicare coverage of a stool DNA colorectal cancer screening test.

An added dimension to 3D printing

The potential for 3D printing in medicine has created quite the buzz, as surgeons, radiologists and others experiment with ways the technology can improve care. While 3D printing applications in medicine are still developing, one inventor is already looking ahead at the next innovation: 4D printing.

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Flexible sigmoidoscopy screening cuts colorectal cancer rates

A Norwegian study of screening with one-time flexible sigmoidoscopy demonstrated a drop in the colorectal cancer incidence rate by 20 percent and the death rate by 27 percent.

Around the web

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease. 

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care.