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CDC considers chest x-ray AI for TB screening program

AuntMinnie

In an article published September 30 in PLOS Digital Health , scientists at the agency noted that they have few methods currently for ensuring that the half a million x-rays they receive every year from physicians overseas have been interpreted correctly. “To has relatively low rates – about 2.5 to 0.99). “We

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Radiologists in Europe ramp up testing of AI

AuntMinnie

Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers, while two algorithms for predicting bone age fell short, in a study published January 9 in Radiology. Project AIR is an ongoing cohort study aimed at filling this gap, the authors wrote.

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Qure.ai's AI-Driven Chest X-ray Solution Receives FDA Clearance for Enhanced Lung Nodule Detection

Imaging Technology

Qure’s chest X-ray based qXR-LN uses artificial intelligence to identify and localize lung nodules, marking another significant milestone for the organization, strengthening its standing as a pioneer in the realm of AI-powered advancements for plain film radiography and medical imaging.

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Can We Upskill Radiographers through Artificial Intelligence? 

The British Institute of Radiology

Shamie Kumar describes how AI fits into a radiology clinical workflow and her perspective on how a clinical radiographer could use this to learn from and enhance their skills. If the AI findings are seen in PACS, how many radiographers actually log into PACS after taking a scan or X-ray? Can Radiographers Up-Skill?

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ISMRM: Radiology AI technology is here — and more is coming

AuntMinnie

More than a decade later, AI has taken hold in the healthcare enterprise, particularly in medical imaging: In fact, in 2022, 77% of AI tools approved by the U.S. The advent of AI heralds a new era in healthcare, one characterized by the automation of tasks traditionally performed by radiologists and radiographers," she said. "AI

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Can ‘normal filtering’ AI save radiologists time?

AuntMinnie

AI algorithms appear to have clinical value based on detecting normal x-rays – that is, by flagging chest x-rays as normal versus abnormal, they may reduce reading times for radiologists, according to research presented recently at the RSNA meeting in Chicago.

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Why understanding breast density matters

The British Institute of Radiology

Whilst dense breasts are normal and common, dense breast tissue makes it more difficult for radiologists to detect cancer on a mammogram. A growing number of medical organisations link to the DenseBreast-info.org website, including the EFRS (European Federation of Radiographer Societies) and the Society of Radiographers.