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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Digital Mammography CAD: A Second Pair of Eyes that Makes a Difference

With the sharp surge in digital mammography system implementations,mammography CAD is riding the curve, too. This “second set of eyes”that helps to confirm radiological findings in mammograms, makes sensefrom both a cost perspective and the potential it offers to detect morebreast lesions, according to many radiologists.

Advanced visualization looks to new diagnostic horizons

CHICAGO, Nov. 29—Advanced visualization tools have made great stridesin the past few years in assisting the practice of diagnostic imageinterpretation. Applications have bolstered image enhancement,rendering, segmentation, registration, fusion, modeling, andmeasurement, according to Richard Robb, PhD, who lectured at the 93rdannual meeting of the Radiological Society of North America (RSNA).

CAD is effective for detecting colonic lesions, late-stage colorectal cancers

CHICAGO, Nov. 29—Computer-aided detection (CAD) is effective for thelocalization of the often difficult to detect morphologically flatearly colonic cancerous lesions, as well as later stage colorectalcancers, according to two clinical trials presented at the 93rd annualmeeting of the Radiological Society of North America (RSNA) this week.

Radiologists should ally with CAD, but not solely rely on it

CHICAGO, Nov. 28—Two radiologists at the 93rd annual meeting of theRadiological Society of North America defended the use ofcomputer-assisted detection (CAD) despite consistent opposition, anddespite the potential for false-positives in a lecture, “Image sciencefrom a perceptual point of view with CAD.”

New stereoscopic digital mammography raises breast cancer detection

CHICAGO, Nov. 28—Stereoscopic digital mammography allows radiologiststo detect more cancers with fewer false positives, according toclinical trial results presented at the 93rd annual meeting of theRadiological Society of North America (RSNA).

Diffusion tension imaging shows gray matter increase in autistic childrens brains

CHICAGO, Nov. 28—Scientists using diffusion tension imaging foundincreased gray matter or mirror neurons that govern social processingand learning by observation, in the brain areas of autistic children,according to research findings presented at the 93rd annual meeting ofthe Radiological Society of North America (RSNA).

Visage allies with Nuance, Medicsight for product integration

CHICAGO, Nov. 28—Visage Imaging, a wholly owned subsidiary of MercuryComputer Systems, has partnered with Nuance’s Dictaphone HealthcareSolutions Division and Medicsight for integrate their product theirproduct lines, both of which were announced on Tuesday at the 93rdannual meeting of the Radiological Society of North America (RSNA).

Agfa selects Sun infrastructure

CHICAGO, Nov. 28—Agfa HealthCare has selected Sun Microsystems toprovide the infrastructure for its IMPAX PACS platform with integratedadvanced visualization capabilities from Barco, which Sun announced atthe 93rd annual meeting of the Radiological Society of North America(RSNA).

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